RODBC/0000755000176000001440000000000014120710457011134 5ustar ripleyusersRODBC/NAMESPACE0000644000176000001440000000150412562413407012356 0ustar ripleyusersuseDynLib(RODBC, .registration = TRUE, .fixes = "C_") importFrom(stats, runif) importFrom(utils, type.convert) export(getSqlTypeInfo, odbcClearError, odbcClose, odbcCloseAll, odbcConnect, odbcDataSources, odbcDriverConnect, odbcEndTran, odbcFetchRows, odbcGetErrMsg, odbcGetInfo, odbcQuery, odbcReConnect, odbcSetAutoCommit, odbcTables, odbcUpdate, setSqlTypeInfo, sqlClear, sqlColumns, sqlCopy, sqlCopyTable, sqlDrop, sqlFetch, sqlFetchMore, sqlGetResults, sqlPrimaryKeys, sqlQuery, sqlSave, sqlTables, sqlTypeInfo, sqlUpdate) S3method(close, RODBC) S3method(print, RODBC) S3method(format, "ODBC_binary") S3method(print, "ODBC_binary") if(tools:::.OStype() == "windows") { export(odbcConnectAccess, odbcConnectAccess2007, odbcConnectDbase, odbcConnectExcel, odbcConnectExcel2007) } RODBC/LICENCE.note0000644000176000001440000000115012211376653013067 0ustar ripleyusersThis package is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 or 3 of the License (at your option). This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. A copy of the GNU General Public License is available at http://www.r-project.org/Licenses/ . A copy of version 2 is included in the sources as file GPL-2. RODBC/GPL-20000644000176000001440000004313311754561777011667 0ustar ripleyusers GNU GENERAL PUBLIC LICENSE Version 2, June 1991 Copyright (C) 1989, 1991 Free Software Foundation, Inc. 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA Everyone is permitted to copy and distribute verbatim copies of this license document, but changing it is not allowed. Preamble The licenses for most software are designed to take away your freedom to share and change it. By contrast, the GNU General Public License is intended to guarantee your freedom to share and change free software--to make sure the software is free for all its users. This General Public License applies to most of the Free Software Foundation's software and to any other program whose authors commit to using it. (Some other Free Software Foundation software is covered by the GNU Library General Public License instead.) You can apply it to your programs, too. When we speak of free software, we are referring to freedom, not price. Our General Public Licenses are designed to make sure that you have the freedom to distribute copies of free software (and charge for this service if you wish), that you receive source code or can get it if you want it, that you can change the software or use pieces of it in new free programs; and that you know you can do these things. To protect your rights, we need to make restrictions that forbid anyone to deny you these rights or to ask you to surrender the rights. These restrictions translate to certain responsibilities for you if you distribute copies of the software, or if you modify it. For example, if you distribute copies of such a program, whether gratis or for a fee, you must give the recipients all the rights that you have. You must make sure that they, too, receive or can get the source code. And you must show them these terms so they know their rights. We protect your rights with two steps: (1) copyright the software, and (2) offer you this license which gives you legal permission to copy, distribute and/or modify the software. Also, for each author's protection and ours, we want to make certain that everyone understands that there is no warranty for this free software. If the software is modified by someone else and passed on, we want its recipients to know that what they have is not the original, so that any problems introduced by others will not reflect on the original authors' reputations. Finally, any free program is threatened constantly by software patents. We wish to avoid the danger that redistributors of a free program will individually obtain patent licenses, in effect making the program proprietary. To prevent this, we have made it clear that any patent must be licensed for everyone's free use or not licensed at all. The precise terms and conditions for copying, distribution and modification follow. GNU GENERAL PUBLIC LICENSE TERMS AND CONDITIONS FOR COPYING, DISTRIBUTION AND MODIFICATION 0. This License applies to any program or other work which contains a notice placed by the copyright holder saying it may be distributed under the terms of this General Public License. The "Program", below, refers to any such program or work, and a "work based on the Program" means either the Program or any derivative work under copyright law: that is to say, a work containing the Program or a portion of it, either verbatim or with modifications and/or translated into another language. (Hereinafter, translation is included without limitation in the term "modification".) Each licensee is addressed as "you". Activities other than copying, distribution and modification are not covered by this License; they are outside its scope. The act of running the Program is not restricted, and the output from the Program is covered only if its contents constitute a work based on the Program (independent of having been made by running the Program). Whether that is true depends on what the Program does. 1. You may copy and distribute verbatim copies of the Program's source code as you receive it, in any medium, provided that you conspicuously and appropriately publish on each copy an appropriate copyright notice and disclaimer of warranty; keep intact all the notices that refer to this License and to the absence of any warranty; and give any other recipients of the Program a copy of this License along with the Program. You may charge a fee for the physical act of transferring a copy, and you may at your option offer warranty protection in exchange for a fee. 2. You may modify your copy or copies of the Program or any portion of it, thus forming a work based on the Program, and copy and distribute such modifications or work under the terms of Section 1 above, provided that you also meet all of these conditions: a) You must cause the modified files to carry prominent notices stating that you changed the files and the date of any change. b) You must cause any work that you distribute or publish, that in whole or in part contains or is derived from the Program or any part thereof, to be licensed as a whole at no charge to all third parties under the terms of this License. c) If the modified program normally reads commands interactively when run, you must cause it, when started running for such interactive use in the most ordinary way, to print or display an announcement including an appropriate copyright notice and a notice that there is no warranty (or else, saying that you provide a warranty) and that users may redistribute the program under these conditions, and telling the user how to view a copy of this License. (Exception: if the Program itself is interactive but does not normally print such an announcement, your work based on the Program is not required to print an announcement.) These requirements apply to the modified work as a whole. If identifiable sections of that work are not derived from the Program, and can be reasonably considered independent and separate works in themselves, then this License, and its terms, do not apply to those sections when you distribute them as separate works. But when you distribute the same sections as part of a whole which is a work based on the Program, the distribution of the whole must be on the terms of this License, whose permissions for other licensees extend to the entire whole, and thus to each and every part regardless of who wrote it. Thus, it is not the intent of this section to claim rights or contest your rights to work written entirely by you; rather, the intent is to exercise the right to control the distribution of derivative or collective works based on the Program. In addition, mere aggregation of another work not based on the Program with the Program (or with a work based on the Program) on a volume of a storage or distribution medium does not bring the other work under the scope of this License. 3. You may copy and distribute the Program (or a work based on it, under Section 2) in object code or executable form under the terms of Sections 1 and 2 above provided that you also do one of the following: a) Accompany it with the complete corresponding machine-readable source code, which must be distributed under the terms of Sections 1 and 2 above on a medium customarily used for software interchange; or, b) Accompany it with a written offer, valid for at least three years, to give any third party, for a charge no more than your cost of physically performing source distribution, a complete machine-readable copy of the corresponding source code, to be distributed under the terms of Sections 1 and 2 above on a medium customarily used for software interchange; or, c) Accompany it with the information you received as to the offer to distribute corresponding source code. (This alternative is allowed only for noncommercial distribution and only if you received the program in object code or executable form with such an offer, in accord with Subsection b above.) The source code for a work means the preferred form of the work for making modifications to it. For an executable work, complete source code means all the source code for all modules it contains, plus any associated interface definition files, plus the scripts used to control compilation and installation of the executable. However, as a special exception, the source code distributed need not include anything that is normally distributed (in either source or binary form) with the major components (compiler, kernel, and so on) of the operating system on which the executable runs, unless that component itself accompanies the executable. If distribution of executable or object code is made by offering access to copy from a designated place, then offering equivalent access to copy the source code from the same place counts as distribution of the source code, even though third parties are not compelled to copy the source along with the object code. 4. You may not copy, modify, sublicense, or distribute the Program except as expressly provided under this License. Any attempt otherwise to copy, modify, sublicense or distribute the Program is void, and will automatically terminate your rights under this License. However, parties who have received copies, or rights, from you under this License will not have their licenses terminated so long as such parties remain in full compliance. 5. You are not required to accept this License, since you have not signed it. However, nothing else grants you permission to modify or distribute the Program or its derivative works. These actions are prohibited by law if you do not accept this License. Therefore, by modifying or distributing the Program (or any work based on the Program), you indicate your acceptance of this License to do so, and all its terms and conditions for copying, distributing or modifying the Program or works based on it. 6. Each time you redistribute the Program (or any work based on the Program), the recipient automatically receives a license from the original licensor to copy, distribute or modify the Program subject to these terms and conditions. You may not impose any further restrictions on the recipients' exercise of the rights granted herein. You are not responsible for enforcing compliance by third parties to this License. 7. If, as a consequence of a court judgment or allegation of patent infringement or for any other reason (not limited to patent issues), conditions are imposed on you (whether by court order, agreement or otherwise) that contradict the conditions of this License, they do not excuse you from the conditions of this License. If you cannot distribute so as to satisfy simultaneously your obligations under this License and any other pertinent obligations, then as a consequence you may not distribute the Program at all. For example, if a patent license would not permit royalty-free redistribution of the Program by all those who receive copies directly or indirectly through you, then the only way you could satisfy both it and this License would be to refrain entirely from distribution of the Program. If any portion of this section is held invalid or unenforceable under any particular circumstance, the balance of the section is intended to apply and the section as a whole is intended to apply in other circumstances. It is not the purpose of this section to induce you to infringe any patents or other property right claims or to contest validity of any such claims; this section has the sole purpose of protecting the integrity of the free software distribution system, which is implemented by public license practices. Many people have made generous contributions to the wide range of software distributed through that system in reliance on consistent application of that system; it is up to the author/donor to decide if he or she is willing to distribute software through any other system and a licensee cannot impose that choice. This section is intended to make thoroughly clear what is believed to be a consequence of the rest of this License. 8. If the distribution and/or use of the Program is restricted in certain countries either by patents or by copyrighted interfaces, the original copyright holder who places the Program under this License may add an explicit geographical distribution limitation excluding those countries, so that distribution is permitted only in or among countries not thus excluded. In such case, this License incorporates the limitation as if written in the body of this License. 9. The Free Software Foundation may publish revised and/or new versions of the General Public License from time to time. Such new versions will be similar in spirit to the present version, but may differ in detail to address new problems or concerns. Each version is given a distinguishing version number. If the Program specifies a version number of this License which applies to it and "any later version", you have the option of following the terms and conditions either of that version or of any later version published by the Free Software Foundation. If the Program does not specify a version number of this License, you may choose any version ever published by the Free Software Foundation. 10. If you wish to incorporate parts of the Program into other free programs whose distribution conditions are different, write to the author to ask for permission. For software which is copyrighted by the Free Software Foundation, write to the Free Software Foundation; we sometimes make exceptions for this. Our decision will be guided by the two goals of preserving the free status of all derivatives of our free software and of promoting the sharing and reuse of software generally. NO WARRANTY 11. BECAUSE THE PROGRAM IS LICENSED FREE OF CHARGE, THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF ALL NECESSARY SERVICING, REPAIR OR CORRECTION. 12. IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MAY MODIFY AND/OR REDISTRIBUTE THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS), EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES. END OF TERMS AND CONDITIONS How to Apply These Terms to Your New Programs If you develop a new program, and you want it to be of the greatest possible use to the public, the best way to achieve this is to make it free software which everyone can redistribute and change under these terms. To do so, attach the following notices to the program. It is safest to attach them to the start of each source file to most effectively convey the exclusion of warranty; and each file should have at least the "copyright" line and a pointer to where the full notice is found. Copyright (C) This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA Also add information on how to contact you by electronic and paper mail. If the program is interactive, make it output a short notice like this when it starts in an interactive mode: Gnomovision version 69, Copyright (C) year name of author Gnomovision comes with ABSOLUTELY NO WARRANTY; for details type `show w'. This is free software, and you are welcome to redistribute it under certain conditions; type `show c' for details. The hypothetical commands `show w' and `show c' should show the appropriate parts of the General Public License. Of course, the commands you use may be called something other than `show w' and `show c'; they could even be mouse-clicks or menu items--whatever suits your program. You should also get your employer (if you work as a programmer) or your school, if any, to sign a "copyright disclaimer" for the program, if necessary. Here is a sample; alter the names: Yoyodyne, Inc., hereby disclaims all copyright interest in the program `Gnomovision' (which makes passes at compilers) written by James Hacker. , 1 April 1989 Ty Coon, President of Vice This General Public License does not permit incorporating your program into proprietary programs. If your program is a subroutine library, you may consider it more useful to permit linking proprietary applications with the library. If this is what you want to do, use the GNU Library General Public License instead of this License. RODBC/ChangeLog0000644000176000001440000004672114120605454012720 0ustar ripleyusersVersion: 1.3-19 (2021-09-15, released) * configure.ac, configure: run autoupdate. Version: 1.3-18 (2021-08-30, released) * src/RODBC.c: Replace use of Rdefines.h * vignttes/RODBC.Rnw: update/expand on installing on macOS. * man/{sqlColumns,sqlTypeInfo}.Rd: find replacements for MS URLs.a Version: 1.3-17 (2020-05-11, released) * R/sql.R, man/sqlQuery.Rd: remove use of default.stringsAsFactors(). * DESCRIPTION: depend on R (>= 4.0.0) (for stringsAsFactors conformance) Version: 1.3-16 (2019-09-02, released) * configure, configure.ac: remove unused 'R CMD config CPP' * R/sql.R, inst/tests.R: avoid partial matches * po/*.pot: update * src/config.h.in: regenerate * vignettes/RODBC.Rnw: stray quote, Oracle has macOS client, update URL for it. Version: 1.3-15 (2017-04-13, released) * src/RODBC.c: Missed REPROTECT in line 1503. Version: 1.3-14 (2016-09-24, released) * configure: tweaks for use of odbc-config * R/RODBC.Rnw: mention opensource.apple.com, use macOS and https:// * src/RODBC.c: Use "config.h" not Version: 1.3-13 (2016-04-14, released) * R/RODBC.R: Using RODBC::openConnect() works without RODBC on the search path. * R/RODBC.Rnw: add simplified instructions for OS X. * src/RODBC.c: include C headers directly, not just via R.h. Version: 1.3-12 (2015-06-29, released) * NAMESPACE; tweak imports. Version: 1.3-11 (2015-02-26, released) * cleanup: tweak for OS X dirs from configure. * R/sql.R: remove unused assignment. * man/{sqlColumns,sqlTypeInfo}.Rd: avoid encoded URLs. * vignettes/RODBC.Rnw: updates, e.g. drop 'Mac', add 'Microsoft'. Version: 1.3-10 (2013-11-25, released) * DESCRIPTION: use Authors@R * R/RODBC.R, man/odbcClose.Rd: return value of close() method is now more consistent with other methods. * man/*.Rd: add copyright dates. Version: 1.3-9 (2013-11-01, released) * cleanup: remove detritus from OS X trial compiles. * R/RODBC.R: return value of odbcClose is now as documented. * src/RODBC.c: remove version dependence as package depends on a later version of R. * vignettes/RODBC.Rnw: updates, including for OS X Mavericks. Version: 1.3-8 (2013-09-01, released) * DESCRIPTION: depend on R (>= 3.0.0) * Remove a.out.DSYM directory left over from OS X * R/TypeInfo.R: Use registered symbol in .Call * src/RODBC.c: remove repeated i++ Version: 1.3-7 (2013-07-01, released) * LICENCE.note: rename LICENCE Version: 1.3-6 (2013-06-28, released) * DESCRIPTION: remove BuildVignettes: no * vignettes/Makefile: remove as R 3.0.x misbehaves Version: 1.3-5 (2012-06-09, released) * R/sql.R: pass na.strings to type.convert, so "NA" need not be converted. * vignettes/: assemble pieces from inst/doc and manual. Version: 1.3-4 (2012-01-05, released) * R/RODBC.R, R/TypeInfo.R: use an environment for typesR2DBMS. Version: 1.3-3 (2011-07-25, released) * COPYING: change to name to GPL-2. * po: add Danish translations from Joe Hansen. Version: 1.3-2 (2010-07-25, released) * po: add German translations from Chris Leick * man/odbcConnect.Rd, manual: mention Access 2010 drivers (which are also available for 64-bit Windows) and update info about sources of ODBC drivers. Version: 1.3-1 (2009-10-11, released) * man/odbcConnect.Rd: Rendering issues for Rd2 convertors. Stress that some ODBC drivers do not work correctly with bulk fetches, and that this is not a bug in RODBC. Version: 1.3-0 (2009-07-28, released) * Documentation has been reorganized into a vignette/manual, and files README and INSTALL have been removed. * sqlSave(), sqlFetch() and sqlUpdate() now allow 'schema.table' forms for the table name. * The internals use grepl(), so R >= 2.9.0 is required. * odbcDriverConnect() obfuscates any password returned in the connection string. * Binary columns in a table can now be retrieved. They will be returned as a column of class "ODBC_binary", which is a list of raw vectors. * The value of 'rows_at_time' set in odbcConnect (default now 100) is now used in all queries. The buffers allocated when fetching character columns now depend on 'rows_at_time', so reducing this will save memory if potentially large character columns are in the result set, and can be done as an argument to sqlQuery() and functions which call it such as sqlFetch(). * Apart from for the Excel driver, odbcTableExists() looks up just the (remapped) name in sqlTables() so will be faster on some systems. Also, dotted table names are not quoted (which is what drivers that support them seem to require). * The internal function sqlwrite() used by sqlSave() now matches column types to the information given by sqlTypeInfo() by number rather than by name, as the Oracle ODBC driver returns names that are aliases of those in the type table. * The test suite now contains examples for IBM's DB2, for Oracle's own OBDC driver and for Mimer (on Windows). * sqlColumns() and sqlTables() have an extra argument 'literal' to control the interpretation of wildcards. * sqlSave(addPK=) causes that column to be created with a 'NOT NULL' constraint (needed by some DBMSs, including DB2). * odbcColumns() and odbcPrimaryKeys() are no longer exported from the namespace. * sqlClear() now uses 'TRUNCATE TABLE' rather than 'DELETE FROM'. * odbcDriverConnect() gains a 'readOnlyOptimize' argument for the few systems (notably Mimer) which support it. * sqlTypeInfo() allows more types to be specified. * getSqlTypeInfo() has data for DB2 (on Windows) and Mimer. * Several C-level errors are given in more detail. * References to the unreleased 'bulk_add' option have been removed. * sqlSave(oldstyle = TRUE) has been removed. * sql* functions now return invisibly if errors = FALSE. * odbcDriverConnect() no longer allows case = "oracle" as a synonym for "toupper" (and Oracle is generally case-insensitive). * odbcReConnect() has been re-designed to allow any of the arguments to be changed. Version: 1.2-6 (2009-06-23, released) * Split INSTALL file out of README. * Clarify that it is the ODBC driver that needs to recognize primary keys: apparently Access has them but the driver does not. * close() was leaking a RODBChandle stucture, found by valgrind. * odcUpdate() could write one character beyond a character buffer: used by sqlSave(fast=TRUE). * sqlSave(fast=TRUE) failed if the driver reported column sizes of date/dateime fields incorrectly, as sqliteodbc does. Now these are retrieved by sqlTypeInfo(), and if they gives silly sizes, a sensible default is used. * sqlSave(fast=FALSE) could write logical columns with ' TRUE' due to a deficiency in as.matrix.data.frame(). * sqlClear() now works with systems that need remapped/quoted table names. * Use NA_character_ as default for 'nullstring'. * Rework help pages, with many more details on catalogs, schema and behaviour of specific drivers. * There is limited support for dotted table names in sqlClear, sqlDrop and sqlFetch. * sqlTables, sqlColumns, sqlPrimaryKeys have extra arguments to restrict/change the search for the table(s) where this supported by the ODBC driver. * There is a now a test suite, the relevant parts of which are run if the environment variable RODBC_TESTING is set. (This depends on specific DSN names being available, and so is intended only for the maintainer's use.) Version: 1.2-5 (2009-01-21, released) * Adapt help to Rd version 2 * Use integer constants * Spelling corrections Version: 1.2-4 (2008-11-19, released) * Add missing temporary PROTECT in odbcConnect(), reported by Tom McCallum. * odbcReConnect() was broken (reported by Thomas Lumley). * sqlGetResults(): add 'stringsAsFactors' argument. Version: 1.2-3 (2008-01-24, released) * Plug a memory leak in inRODBCClose (closing a connection), reported by Stephan Henne. * Use translateChar() on character data sent in. Version: 1.2-2 (2007-10-19, released) * Clarify licensing as under either GPL-2 or GPL-3, add licence comments to source files. * Typo in setSqlTypeInfo(). * Use gsub() rather than chartr() in odbcConnectAccess() etc, because of a report that chartr() was not working correctly on Chinese file names. * Added odbcConnect{Access,Excel}2007() for use with Office 2007 formats and drivers. Version: 1.2-1 (2007-06-03, released) * Use (const char *) for compatibility with R 2.6.0. * Add comments about MySQL's broken Connector/ODBC beta. Version: 1.2-0 (2007-04-24, released) * Move to ODBC3 function calls throughout. * Internally, keep an ODBC environment open throughout the session rather than use one for every channel. * odbcDriverConnect has new arguments to set the values of 'rows_at_time' and 'bulk_add' for the connection. 'rows_at_time' now defaults to 1000. * odbcDriverConnect has new argument 'DBMSencoding' to allow re-encoding of character data to be passed to and from a DBMS running with a charset different from that of the locale under which R is running. Version: 1.1-9 (2007-04-02, released) * odbcConnectExcel has a 'readOnly' option (default TRUE, as before). * There is more support for Excel spreadsheets, including 'tables' as marked ranges as well as worksheets, and more compatibility for writing to spreadsheets (in so far as this is allowed by the ODBC driver). See ?odbcConnectExcel. * odbcDriverConnect has new arguments 'colQuote' and 'tabQuote' to control the quoting of column and table names (respectively) in SQL queries. ANSI SQL92 mandates quoting by ", but this is not universally accepted (e.g. by MySQL) and RODBC used not to quote. Now it attempts to quote suitably, but setting colQuote=NULL reverts to the earlier (non-quoting) behaviour. * odbcDriverConnect tries to figure out a default value for 'case' from the DBMS name reported by the driver. * sqlSave(fast = FALSE) and sqlUpdate(fast = FALSE) now escape embedded single quotes in character strings via doubling, which should work on systems with ANSI SQL92 compliance. The quoting rules for fields is now read from the driver (as e.g. Excel quotes datetime fields by ## not ''). * getSqlTypeInfo now has values for the Excel driver. * Fixed typo in the default setting of options("dec"), which meant it was set to '.' in all locales, and gave a spurious warning in R >= 2.5.0. Version: 1.1-8 (2007-01-02, released) * Make use of symbol registration for .Call entry points. * Add odbcEndTran() function for use when odbcSetAutoCommit() has been used to disable auto-commit. * Add odbcDataSources() function to list User and System DSNs. * sqlUpdate(fast=FALSE) now quotes date and time columns as some drivers appear to need it. * sqlwrite{fast=FALSE, append=TRUE) works better with out-of-order columns on some drivers. Version: 1.1-7 (2006-05-24, released) * configure.ac: make use of odbc_config if --with-odbc-manager=odbc. * sqlSave: change wording of one error message (Matthew Dowle, 2006-04-11). * sqlFetch can now fetch up to 1024 rows at a time, which can be substantially faster when using a remote server. (Based on code suggested by Nick Gorman to Matthew Dowle.) * setSqlTypeInfo: corrected typo. Version: 1.1-6 (2006-04-04, released) * Use SQL[U]LEN to agree with ODBC 64-bit headers. * Add config.h.in to show if the above are defined, and also SIZEOF_LONG for unixODBC headers. * Add more info on sqlite3 in README and tests.R. (I failed to make sqlite 2.8.17 work on a 64-bit platform, and also failed to save to other types such as 'date' and 'text'.) * Add info on 64-bit builds (especially Debian) in README. Version: 1.1-5 (2006-01-10, released) * Added a cast in RODBC.c to counteract a warning Dirk Eddelbuettel got (and I do not on either Linux or Windows). * Autoconf 2.59 goes into undocumented back-compatibility mode with a one-argument AC_INIT, so use full form (with version no). * odbcSetAutocommit was not exported. * sqlSave: if 'verbose' and 'safer' write out verbose message before error message. Version: 1.1-4 (2005-08-04, released) * Add configure arguments and look at env vars - see README * Use collapse="\n" for possible multiple error messages. * Add odbcSetAutocommit() contributed by Yasser El-Zein. * Attempts to open and close more than 100 channels in a session might have segfaulted. * sqlSave(test) was documented with the wrong default. Version: 1.1-3 (2005-02-05, released) * Improve error messages for possible translation. * Fix typo in regexp in mangleColNames. * Add tests for native PostgreSQL on Windows. * Workaround problem with MyODBC 3.15-10 driver that needs SQL_DRIVER_NOPROMPT when the window handle is null. Version: 1.1-2 (2004-10-24, released) * Operating on a closed channel might crash in RODBCcheckchannel. * Report that DBase driver description in odbcConnectDbase was wrong. * Add settings for SQLite. Version: 1.1-1 (2004-09-14, released) * Select the decimal point from Sys.localeconv. * Add an external reference and finalizer so open channels get closed at the end of the session or when there is no R object referring to them. * There is no longer a restriction to 16 channels. Version: 1.1-0 (2004-09-06, test version) * Add NAMESPACE. * odbcConnect{Access,Dbase,Excel} allow a missing file name (and will bring up a dialog box to search for it). * odbcGetInfo returns more information in a 8-element character vector (based on an idea of Matthew Dowle). * The C code calls SQLExecuteDirect rather than SQLExecute and does not call SQLCloseCursor, based on a problem report from Matthew Dowle using MS SQLServer. Repeated calls to sqlGetResults now work. * New function sqlFetchMore. * Table names in Access with embedded spaces are mapped to the [name space] form which Access requires. * Table creation no longer removes _ from column names. * New functions get/setSqlTypeInfo and the typeInfo argument to sqlSave allow users to specify the mapping from R types to DBMS datatypes. sqlSave also allows the specification of DBMS datatypes by column. * It is now possible to write more than 255 chars to a field with sqlSave and sqlUpdate. * Dates and timestamps are now read as 'Date' and 'POSIXct' columns by sqlGetResults (unless as.is = TRUE for the column). Version: 1.0-4 (2003-07-19, released) * RODBC.c: iodbc was not recognizing the SQLTCHAR cast * odbcClose.Rd, odbcConnect.Rd: tidy up Version: 1.0-3 (2003-05-25, released) * RODBC.c: remove unneeded SQLCHAR cast Version: 1.0-2 (2003-05-13, released) * Add inst/ directory and install README. * Allow reading of character fields up to 64K bytes (limited as the driver may report silly sizes). * Note that convenience wrappers for Excel etc need English-language drivers to be installed. Version: 1.0-1 (2003-01-20, released) * If a character field is truncated when reading from a database, an R warning is given. * There was no protection against writing more than 255 chars in a character vector in sqlSave/sqlUpdate(fast=TRUE). Now the first 255 characters are written and a warning given. Version: 0.99-9 (2003-01-17, test version) * Testing with PostgreSQL revealed that - attempting to create a table with a primary key resulted in memory corruption inside the unixODBC PostgreSQL driver and - the special columns in PostgreSQL are pseudo-columns, so ML's stategy in sqlUpdate is doomed. * Added 'addPK' argument to sqlSave(), defaulting to FALSE, to circumvent the above. (The latest psqlodbc client behaves.) * Changed strategy in sqlUpdate(). Allow 'index' argument, and otherwise look first for a primary key in the data frame, then special columns, then "rownames". * Changed all C-level tests to allow for SQL_SUCCESS_WITH_INFO as the return value is driver-dependent and psqlodbc was returning SQL_SUCCESS_WITH_INFO from SQLExecute. Version: 0.99-8 (2003-01-15, test version) * Result sets with no rows are now reported as 0-row data frames and not regarded as an error (return value -1). * More consistent usage of errors, with new error code -2 indicating no data (that is no result from the query, not just no rows available). For example, failure to create a table in sqlSave() is now a fatal error. * On Windows, convenience functions odbcConnectAccess(), odbcConnectDbase() and odbcConnectExcel() based on suggestion of Fan, . * A 'channel' object contains a randomly generated ID, so even if a channel has been closed and the slot reused, the original R object will be declared invalid. * options("dec") is only set when RODBC is loaded if it is not already set. * New function odbcCloseAll(). * Improved documentation. New README, move ML's to README.orig. Version: 0.99-6 (2003-01-12, test version) * Migration to use .Call where appropriate. * 'channel' is now a classed object, with a print method and all relevant information is recorded as attributes of the object, and new function odbcReConnect() allows reconnection to a saved 'channel' object. * New function odbcDriverConnect() provides an alternative interface via ODBC driver connection strings. Under the Windows GUI this allows interactive completion of connection strings via standard ODBC dialog boxes. * Names of tables are no longer deparsed, so normal R semantics apply and they should be quoted. * odbcNumRows now returns the number of rows, not a list. * odbcCaseFlag now returns character in all cases. * New argument 'believeNRows' to accommodate ORACLE (and also sqlTypeInfo() calls on MySQL). * The limit on the number of channels was off by one. * sqlSave() and sqlFetch() now default to rownames = TRUE, that is to include rownames in the table, and to use column 'rownames' for the rownames if it exists. It is possible to retrieve columns other than the first as rownames, as documented (but not working). * New 'safer' option to sqlSave(), which defaults to TRUE. * When sqlSave() creates a table and includes rownames, the rownames are created as a primary key (where supported). * sqlUpdate() has a new 'tablename' argument and many internal changes (e.g. implementing case changes): it is now operational. * sqlSave(fast=TRUE) and sqlUpdate() can now create database NULLs even on MS Access, and character strings with value "NA" are no longer automatically regarded as missing. sqlUpdate() now has a fast=FALSE method, and for both the fast methods avoid converting numeric and integer columns to character. * odbcFetchRow() has been removed. * sqlCopy() is now implemented. * odbcFetchRows() now returns a list, and sqlFetchRows() only returns a data frame, this being the most efficient storage. SQL double, real, integer and smallint columns are transferred directly to R numeric and integer columns (rather than being converted to character and back again). * Function sqlDrop(), sqlColumns() and sqlPrimaryKeys() were not respecting case-changing (although case-altering DBMSs usually coped). * Various memory leaks have been plugged. * Improved documentation. Version: 0.9-1 (release candidate 2, released to CRAN 2002-10-30) * Improved documentation Version: 0.9-0 (release candidate 1) * New maintainer. * Bring up to date for R 1.6.0. * Several functions were not testing the case-switched version of the table name: now integrated into new function odbcTableExists. * New function odbcGetInfo. * New function sqlTypeInfo. * sqlFetch now does work with Excel spreadsheets. Version: 0.8-3 * Minor changes to make documentation and examples R CMD check compliant RODBC/man/0000755000176000001440000000000014120605454011707 5ustar ripleyusersRODBC/man/odbcSetAutoCommit.Rd0000644000176000001440000000312712474440414015571 0ustar ripleyusers% file RODBC/man/odbcSetAutoCommit.Rd % copyright (C) 2005-2013 B. D. Ripley % \name{odbcSetAutoCommit} \alias{odbcSetAutoCommit} \alias{odbcEndTran} \title{ODBC Set Auto-Commit Mode} \description{ Set ODBC database connection's auto-commit mode. } \usage{ odbcSetAutoCommit(channel, autoCommit = TRUE) odbcEndTran(channel, commit = TRUE) } \arguments{ \item{channel}{RODBC connection object returned by \code{odbcConnect}.} \item{autoCommit}{logical. Set auto-commit on?} \item{commit}{logical. Commit or rollback pending transaction?} } \details{ Auto-commit is a concept supported only by ODBC connections to transactional DBMSs. If a connection to a transactional DBMS is in auto-commit mode (the default), then all its SQL statements will be executed and committed as individual transactions. Otherwise, its SQL statements are grouped into transactions that are terminated by an execution of \code{commit} or \code{rollback}. Switching a connection to auto-commit mode commits the pending transaction. By default, new connections are in auto-commit mode. If auto-commit mode has been disabled, a call to \code{odbcEndTran} or an SQL \code{commit} statement must be executed in order to commit changes; otherwise, pending database changes will not be saved. } \value{ \code{odbcSetAutoCommit} stops if \code{channel} is an invalid connection. The function returns \code{-1} on error, \code{0} on success and \code{} on success with a message that would be returned by \code{odbcGetErrMsg}. } \author{ Norman Yamada, Yasser El-Zein } \keyword{IO} \keyword{database} RODBC/man/sqlFetch.Rd0000644000176000001440000000750012474440414013754 0ustar ripleyusers% file RODBC/man/sqlFetch.Rd % copyright (C) 1999-2002 M. Lapsley % copyright (C) 2002-2013 B. D. Ripley % \name{sqlFetch} \alias{sqlFetch} \alias{sqlFetchMore} \title{Reading Tables from ODBC Databases} \description{ Read some or all of a table from an ODBC database into a data frame. } \usage{ sqlFetch(channel, sqtable, ..., colnames = FALSE, rownames = TRUE) sqlFetchMore(channel, ..., colnames = FALSE, rownames = TRUE) } \arguments{ \item{channel}{connection handle returned by \code{\link{odbcConnect}}.} \item{sqtable}{a database table name accessible from the connected DSN. This should be either a literal character string or a character vector of length 1.} \item{\dots}{additional arguments to be passed to \code{\link{sqlQuery}} or \code{\link{sqlGetResults}}. See \sQuote{Details}.} \item{colnames}{logical: retrieve column names from first row of table? (For use when \code{\link{sqlSave}(colnames = TRUE)} was used.)} \item{rownames}{either logical or character. If logical, retrieve row names from the first column (\code{rownames}) in the table? If character, the column name to retrieve them from.} } \details{ Note the \sQuote{table} includes whatever table-like objects are provided by the DBMS, in particular views and system tables. \code{sqlFetch} by default retrieves the the entire contents of the table \code{sqtable}. Rownames and column names are restored as indicated (assuming that they have been placed in the table by the corresponding arguments to \code{\link{sqlSave}}). Alternatively, \code{sqlFetch} can fetch the first \code{max} rows, in which case \code{sqlFetchMore} will retrieve further result rows, provided there has been no other ODBC query on that channel in the meantime. These functions try to cope with the peculiar way the Excel ODBC driver handles table names, and to quote Access table names which contain spaces. Dotted table names, e.g. \code{myschema.mytable}, are allowed on systems that support them, unless the connection was opened with \code{interpretDot = FALSE}. Useful additional parameters to pass to \code{\link{sqlQuery}} or \code{\link{sqlGetResults}} include \describe{ \item{\code{max}:}{limit on the number of rows to fetch, with \code{0} (the default) indicating no limit.} \item{\code{nullstring}:}{character string to be used when reading \code{SQL_NULL_DATA} character items from the database: default \code{NA_character_}.} \item{\code{na.strings}:}{character string(s) to be mapped to \code{NA} when reading character data: default \code{"NA"}.} \item{\code{as.is}:}{as in \code{\link{sqlGetResults}}.} \item{\code{dec}:}{The character for the decimal place to be assumed when converting character columns to numeric.} \item{\code{rows_at_time}:}{Allow for multiple rows to be retrieved at once. See \code{\link{sqlQuery}}.} } } \value{ A data frame on success, or a character or numeric error code (see \code{\link{sqlQuery}}). } \note{ If the table name desired is not a valid SQL name (alphanumeric plus \code{_}) and these functions are not able to interpret the name, you can use \code{\link{sqlQuery}} with whatever quoting mechanism your DBMS vendor provides (e.g. \code{[ ]} on some Microsoft products and backticks on MySQL). } \seealso{ \code{\link{sqlSave}}, \code{\link{sqlQuery}}, \code{\link{odbcConnect}}, \code{\link{odbcGetInfo}} } \author{ Michael Lapsley and Brian Ripley } \examples{ \dontrun{ channel <- odbcConnect("test") sqlSave(channel, USArrests) sqlFetch(channel, "USArrests") # get the lot sqlFetch(channel, "USArrests", max = 20, rows_at_time = 10) sqlFetchMore(channel, max = 20) sqlFetchMore(channel) # get the rest sqlDrop(channel, "USArrests") close(channel) }} \keyword{IO} \keyword{database} RODBC/man/sqlTypeInfo.Rd0000644000176000001440000000506314120605454014457 0ustar ripleyusers% file RODBC/man/sqlTypeInfo.Rd % copyright (C) 1999-2002 M. Lapsley % copyright (C) 2002-2021 B. D. Ripley % \name{sqlTypeInfo} \alias{sqlTypeInfo} \title{Request Information about Data Types in an ODBC Database} \description{ Request information about data types in an ODBC database } \usage{ sqlTypeInfo(channel, type = "all", errors = TRUE, as.is = TRUE) } \arguments{ \item{channel}{connection handle as returned by \code{\link{odbcConnect}}.} \item{type}{The types of columns about which information is requested. Possible values are \code{"all"}, \code{"char"}, \code{"varchar"} , \code{"wchar"}, \code{"wvarchar"} (Unicode), \code{"real"}, \code{"float"}, \code{"double"}, \code{"integer"}, \code{"smallint"}, \code{"date"}, \code{"time"}, \code{"timestamp"}, \code{"binary"}, \code{"varbinary"}, \code{"longvarbinary"} and (its alias) \code{"blob"}. } \item{errors}{logical: if true halt and display error, else return \code{-1}.} \item{as.is}{as in \code{\link{sqlGetResults}}.} } \details{ \code{sqlTypeInfo} attempts to find the types of columns the database supports: ODBC drivers are not required to support this (but all known examples do). Where it is supported, it is used by \code{\link{sqlSave}} to decide what column types to create when creating a new table in the database. } \value{ A data frame on success, or character/numeric on error depending on the \code{errors} argument. Use \code{\link{sqlGetResults}} for further details of errors. The columns returned may depend on the ODBC driver manager. For a fully ODBC 3 manager, see \url{https://docs.microsoft.com/en-us/sql/odbc/reference/syntax/sqlgettypeinfo-function?view=sql-server-ver15} %% \url{http://msdn.microsoft.com/en-us/library/ms714632(VS.85).aspx}: the symbolic constants mentioned there will be returned as numbers (and the values of the numeric constants can be found in the ODBC headers such as \file{sql.h} and \file{sqlext.h}). } \seealso{ \code{\link{sqlGetResults}}, \code{\link{odbcGetInfo}} } \author{ Brian Ripley } \examples{\dontrun{ > names(sqlTypeInfo(channel)) [1] "TYPE_NAME" "DATA_TYPE" "COLUMN_SIZE" [4] "LITERAL_PREFIX" "LITERAL_SUFFIX" "CREATE_PARAMS" [7] "NULLABLE" "CASE_SENSITIVE" "SEARCHABLE" [10] "UNSIGNED_ATTRIBUTE" "FIXED_PREC_SCALE" "AUTO_UNIQUE_VALUE" [13] "LOCAL_TYPE_NAME" "MINIMUM_SCALE" "MAXIMUM_SCALE" [16] "SQL_DATATYPE" "SQL_DATETIME_SUB" "NUM_PREC_RADIX" [19] "INTERVAL_PRECISION" }} \keyword{IO} \keyword{database} RODBC/man/RODBC-internal.Rd0000644000176000001440000000222712235145744014652 0ustar ripleyusers% file RODBC/man/RODBC-internal.Rd % copyright (C) 1999-2013 M. Lapsley and B. D. Ripley % \name{RODBC-internal} \alias{odbcUpdate} \alias{odbcCaseFlag} \alias{odbcColumns} \alias{odbcPrimaryKeys} \alias{odbcSpecialColumns} \alias{sqltablecreate} \alias{sqlwrite} \alias{odbcTableExists} \alias{odbcClearResults} \alias{odbcValidChannel} \title{Internal RODBC functions} \description{ Internal RODBC functions: not exported from the \pkg{RODBC} name space. } \usage{ odbcUpdate(channel, query, data, params, test = FALSE, verbose = FALSE, nastring = NULL) odbcCaseFlag(channel) odbcColumns(channel, table, catalog = NULL, schema = NULL, literal = FALSE) odbcSpecialColumns(channel, table, catalog = NULL, schema = NULL) odbcPrimaryKeys(channel, table, catalog = NULL, schema = NULL) sqlwrite(channel, tablename, mydata, test = FALSE, fast = TRUE, nastring = NULL, verbose = FALSE) sqltablecreate(channel, tablename, coldata = NULL, colspecs, keys = -1) odbcTableExists(channel, tablename, abort = TRUE, forQuery = TRUE, allowDot = attr(channel, "interpretDot")) odbcClearResults(channel) odbcValidChannel(channel) } \keyword{internal} RODBC/man/sqlDrop.Rd0000644000176000001440000000363312474440414013632 0ustar ripleyusers% file RODBC/man/sqlDrop.Rd % copyright (C) 1999-2002 M. Lapsley % copyright (C) 2002-2013 B. D. Ripley % \name{sqlDrop} \alias{sqlDrop} \alias{sqlClear} \title{Deletion Operations on Tables in ODBC databases} \description{ \code{sqlClear} deletes all the rows of the table \code{sqtable}. \code{sqlDrop} removes the table \code{sqtable} (if permitted). } \usage{ sqlClear(channel, sqtable, errors = TRUE) sqlDrop(channel, sqtable, errors = TRUE) } \arguments{ \item{channel}{connection object as returned by \code{\link{odbcConnect}}.} \item{sqtable}{character string: a database table name accessible from the connected DSN. This can be a \sQuote{dotted} name of the form \code{\var{schema}.\var{table}}.} \item{errors}{logical: if \code{TRUE} halt and display error, else return \code{-1}.} } \details{ These submit \samp{TRUNCATE TABLE} and \samp{DROP TABLE} SQL queries respectively. \sQuote{Dotted} table names are allowed on systems that support them but the existence of the table is not checked and so attempting these operations on a non-existent table will give a low-level error. (This can be suppressed by opening the connection with \code{interpretDot = FALSE}.) The default \sQuote{drop} behaviour in Oracle is to move the table to the \sQuote{recycle bin}: use \preformatted{ sqlQuery(channel, "PURGE recyclebin") } to empty the recycle bin. The current user might not have privileges to allow these operations, and Actual Technologies' Mac OS X SQLite driver has a bug causing them silently to fail. } \value{ If \code{errors = FALSE}, a numeric value, invisibly. Otherwise a character string or \code{invisible()}. } \seealso{ \code{\link{odbcConnect}}, \code{\link{sqlQuery}}, \code{\link{sqlFetch}}, \code{\link{sqlSave}}, \code{\link{sqlTables}}, \code{\link{odbcGetInfo}} } \author{ Michael Lapsley and Brian Ripley } \keyword{IO} \keyword{database} RODBC/man/sqlCopy.Rd0000644000176000001440000000361212474440414013635 0ustar ripleyusers% file RODBC/man/sqlCopy.Rd % copyright (C) 1999-2002 M. Lapsley % copyright (C) 2002-2013 B. D. Ripley % \name{sqlCopy} \alias{sqlCopy} \alias{sqlCopyTable} \title{ODBC Copy} \description{ Functions to copy tables or result sets from one database to another. } \usage{ sqlCopy(channel, query, destination, destchannel = channel, verbose = FALSE, errors = TRUE, \dots) sqlCopyTable(channel, srctable, desttable, destchannel = channel, verbose = FALSE, errors = TRUE) } \arguments{ \item{channel, destchannel}{connection handle as returned by \code{\link{odbcConnect}}.} \item{query}{any valid SQL statement} \item{destination, srctable, desttable}{character: a database table name accessible from the connected DSN.} \item{verbose}{Display statements as they are sent to the server?} \item{errors}{if TRUE halt and display error, else return \code{-1}.} \item{\dots}{additional arguments to be passed to \code{\link{sqlSave}}.} } \details{ \code{sqlCopy} as is like \code{\link{sqlQuery}}, but saves the output of \code{query} in table \code{destination} on channel \code{destchannel}. \code{sqlCopyTable} copies the structure of \code{srctable} to \code{desttable} on DSN \code{destchannel}. This is within the limitations of the ODBC lowest common denominator. More precise control is possible \emph{via} \code{sqlQuery}. } \value{ See \code{\link{sqlGetResults}}. } \seealso{ \code{\link{sqlQuery}}, \code{\link{sqlSave}} } \author{ Michael Lapsley and Brian Ripley } \examples{\dontrun{## example for a l/casing DBMS sqlSave(channel, USArrests, rownames = "state") query <- paste("select state, murder from usarrests", "where rape > 30", "order by murder") sqlCopy(channel, query, "HighRape", rownames = FALSE) sqlFetch(channel, "HighRape", rownames = "state", max = 5) sqlDrop(channel, "HighRape") }} \keyword{IO} \keyword{database} RODBC/man/odbcGetInfo.Rd0000644000176000001440000000332712474440414014371 0ustar ripleyusers% file RODBC/man/odbcGetInfo.Rd % copyright (C) 1999-2002 M. Lapsley % copyright (C) 2002-2013 B. D. Ripley % \name{odbcGetInfo} \alias{odbcGetInfo} \title{Request Information on an ODBC Connection} \description{ Request information on an ODBC connection. } \usage{ odbcGetInfo(channel) } \arguments{ \item{channel}{connection handle as returned by \code{\link{odbcConnect}} of class \code{"RODBC"}.} } \value{ A named character string giving information on the database and ODBC driver in use on the connection \code{channel}. } \author{ Brian Ripley } \examples{\dontrun{ odbcGetInfo(channel) # under Windows XP ## MySQL returned DBMS_Name DBMS_Ver Driver_ODBC_Ver "MySQL" "5.1.35-community" "03.51" Data_Source_Name Driver_Name Driver_Ver "testdb5" "myodbc5.dll" "05.01.0005" ODBC_Ver Server_Name "03.52.0000" "localhost via TCP/IP" ## MS Access returned DBMS_Name DBMS_Ver Driver_ODBC_Ver Data_Source_Name "ACCESS" "04.00.0000" "03.51" "testacc" Driver_Name Driver_Ver ODBC_Ver Server_Name "odbcjt32.dll" "04.00.6305" "03.52.0000" "ACCESS" ## SQL Server 2008 Express returned DBMS_Name DBMS_Ver Driver_ODBC_Ver "Microsoft SQL Server" "10.00.1600" "03.52" Data_Source_Name Driver_Name Driver_Ver "SQLServer" "SQLNCLI.DLL" "09.00.4035" ODBC_Ver Server_Name "03.52.0000" "AUK\\\\SQLEXPRESS" }} \keyword{IO} \keyword{database} RODBC/man/sqlTables.Rd0000644000176000001440000001415412474440414014140 0ustar ripleyusers% file RODBC/man/s.Rd % copyright (C) 1999-2002 M. Lapsley % copyright (C) 2002-2013 B. D. Ripley % \name{sqlTables} \alias{sqlTables} \title{List Tables on an ODBC Connection} \description{ List the table-like objects accessible from an ODBC connection. What objects are \sQuote{table-like} depends on the DBMS, ODBC driver and perhaps even the configuration settings: in particular some connections report system tables and some do not. } \usage{ sqlTables(channel, errors = FALSE, as.is = TRUE, catalog = NULL, schema = NULL, tableName = NULL, tableType = NULL, literal = FALSE) } \arguments{ \item{channel}{connection handle as returned by \code{\link{odbcConnect}}.} \item{errors}{if \code{TRUE} halt and display error, else return \code{-1}.} \item{as.is}{as in \code{\link{sqlGetResults}}.} \item{catalog, schema, tableName, tableType}{\code{NULL} or character: whether these do anything depends on the ODBC driver. The first three can be length-one character vectors, and \code{tableType} can specify zero or more types in separate elements of a character vector.} \item{literal}{logical: (where supported) should arguments be interpreted literally or including wildcards?} } \value{ A data frame on success, or character/numeric on error depending on the \code{errors} argument. (Use \code{\link{sqlGetResults}} for further details of errors.) The column names depend on the database, containing a third column \code{TABLE_NAME} (not always in upper case): however, they are supposed to be always in the same order. The first column is the \sQuote{catalog} or (in ODBC2 parlance) \sQuote{qualifier}, the second the \sQuote{schema} or (ODBC2) \sQuote{owner}, the third the name, the fourth the table type (one of \code{"TABLE"}, \code{"VIEW"}, \code{"SYSTEM TABLE"}, \code{"ALIAS"}, \code{"SYNONYM"}, or a driver-specific type name) and the fifth column any remarks. Oddly, the Microsoft Excel driver considers worksheets to be system tables, and named ranges to be tables. } \section{Driver-specific details}{ Whether the additional arguments are implemented and what they do is driver-specific. The standard SQL wildcards are \emph{underscore} to match a single character and \emph{percent} to match zero or more characters (and often backslash will escape these): these are not used for table types. All of these drivers interpret wildcards in \code{tableName}, and in \code{catalog} or \code{schema} where supported. Setting one of \code{catalog} or \code{schema} to \code{"\%"} and the other and \code{tableName} to \code{""} should give a list of available catalogs or schemas, whereas \preformatted{ catalog = "", schema = "", tableName = "", tableType = "\%" } should list the supported table types. For MySQL, \code{catalog} refers to a database whereas \code{schema} is mostly ignored, and \code{literal} is ignored. To list all databases use just \code{catalog = "\%"}. In the 5.1.x driver, use \code{catalog="\var{db_name}", tableName="\%"} to list the tables in another database, and to list the table types use the form displayed above. For PostgreSQL's ODBC driver \code{catalog} is ignored (except that \code{catalog = ""} is required when listing schema or table types) and \code{literal} works for both \code{schema} and for \code{tableName}. SQLite ODBC ignores \code{catalog} and \code{schema}, except that the displayed form is used to list table types. So although it is possible to attach databases and to refer to them by the \emph{dotted name} notation, it is apparently impossible to list tables on attached databases. % wildcards in \code{tableName} are used whatever the setting of \code{literal}. Microsoft SQL Server 2008 interprets both \code{catalog} and \code{schema}. With \code{literal = TRUE} it only finds tables if \code{schema} is set (even to an empty string). Schemas are only listed if they contain objects. Oracle's Windows ODBC driver finds no matches if anything non-empty is supplied for the \code{catalog} argument. Unless a schema is specified it lists tables in all schemas. It lists available table types as just \code{"TABLE"} and \code{"VIEW"}, but other types appear in listings. With \code{literal = TRUE} it only finds tables if \code{schema} is set (even to an empty string). DB2 implements schemas but not catalogs. \code{literal = TRUE} has no effect. In some uses case matters and upper-case names must be used for schemas. The Microsoft Access and Excel drivers interpret \code{catalog} as the name of the Access \code{.mdb} or Excel \code{.xls} file (with the path but without the extension): wildcards are interpreted in \code{catalog} (for files in the same folder as the attached database) and \code{tableName}. Using \code{schema} is an error except when listing catalogs or table types. The Excel driver matched \code{tableType = "TABLE"} (a named range) but not \code{tableType = "SYSTEM TABLE"} (the type returned for worksheets). The Actual Technologies Access/Excel driver ignores all the additional arguments. } \seealso{ \code{\link{sqlGetResults}} } \author{ Michael Lapsley and Brian Ripley } \examples{ \dontrun{ > sqlTables(channel, "USArrests") ## MySQL example TABLE_CAT TABLE_SCHEM TABLE_NAME TABLE_TYPE REMARKS 1 ripley USArrests TABLE ## PostgreSQL example TABLE_QUALIFIER TABLE_OWNER TABLE_NAME TABLE_TYPE REMARKS 1 ripley public usarrests TABLE ## Microsoft Access example > sqlTables(channel) TABLE_CAT TABLE_SCHEM TABLE_NAME TABLE_TYPE REMARKS 1 C:\\bdr\\test MSysAccessObjects SYSTEM TABLE 2 C:\\bdr\\test MSysACEs SYSTEM TABLE 3 C:\\bdr\\test MSysObjects SYSTEM TABLE 4 C:\\bdr\\test MSysQueries SYSTEM TABLE 5 C:\\bdr\\test MSysRelationships SYSTEM TABLE 6 C:\\bdr\\test hills TABLE 7 C:\\bdr\\test USArrests TABLE }} \keyword{IO} \keyword{database} RODBC/man/setSqlTypeInfo.Rd0000644000176000001440000000316512474440414015137 0ustar ripleyusers% file RODBC/man/sqlTypeInfo.Rd % copyright (C) 2004-2013 B. D. Ripley % \name{setSqlTypeInfo} \alias{setSqlTypeInfo} \alias{getSqlTypeInfo} \title{Specify or Query a Mapping of R Types to DBMS Types} \description{ Specify or retrieve a mapping of \R types to DBMS datatypes. } \usage{ setSqlTypeInfo(driver, value) getSqlTypeInfo(driver) } \arguments{ \item{driver}{A character string specifying the \code{DBMS_name} as returned by \code{\link{odbcGetInfo}}. Optional for \code{getSqlTypeInfo}.} \item{value}{A named list with character values. This should have names \code{"double"}, \code{"integer"}, \code{"character"} and \code{"logical"}, and values SQL types appropriate to the DBMS.} } \details{ This information is used by \code{\link{sqlSave}} if it creates a table in the DBMS and is not overridden by arguments \code{typeInfo} or \code{varTypes}. Mappings are included for MySQL, PostgreSQL, SQLite, Oracle, Mimer, DB2 on Windows, and the Microsoft SQL Server, Access, Excel and Dbase drivers. The SQL types chosen should be nullable to allow \code{NA}s to be represented. (Bit and boolean types often are not.) } \value{ For \code{setSqlTypeInfo} none. For \code{getSqlTypeInfo} with an argument, a named list. Without an argument, a data frame. } \author{ Brian Ripley } \seealso{ \code{\link{sqlTypeInfo}}, \code{\link{sqlSave}}. } \examples{\dontrun{ getSqlTypeInfo() getSqlTypeInfo("MySQL") setSqlTypeInfo("Microsoft SQL Server", list(double="float", integer="int", character="varchar(255)", logical="varchar(5)")) }} \keyword{IO} \keyword{database} RODBC/man/odbcClose.Rd0000644000176000001440000000237412474440414014104 0ustar ripleyusers% file RODBC/man/odbcClose.Rd % copyright (C) 1999-2002 M. Lapsley % copyright (C) 2002-2013 B. D. Ripley % \name{odbcClose} \alias{odbcClose} \alias{odbcCloseAll} \alias{close.RODBC} \title{ODBC Close Connections} \description{ Close connections to ODBC databases. } \usage{ odbcClose(channel) \method{close}{RODBC}(con, \dots) odbcCloseAll() } \arguments{ \item{channel, con}{RODBC connection object as returned by \code{odbcConnect}.} \item{\dots}{additional arguments passed from the generic.} } \details{ \code{odbcClose} cleans up and frees resources. It is also the method for the generic function \code{close}. \code{odbcCloseAll} closes all open channels (amongst the first 1000 used in the session). Channels are closed at the end of an \R session, and may also be closed by garbage collection if no object refers to them. In both cases a warning is given (but may not be seen at the end of a console session). } \value{ Function \code{odbcClose} returns a logical indicating if it succeeded, invisibly unless a warning is given. The \code{close} method returns \code{0} (success) or \code{1}, invisibly. } \author{ Michael Lapsley and Brian Ripley } \seealso{ \code{\link{odbcConnect}} } \keyword{IO} \keyword{database} RODBC/man/RODBC-package.Rd0000644000176000001440000000154412235145744014432 0ustar ripleyusers% file RODBC/man/RODBC-package.Rd % copyright (C) 1999-2013 M. Lapsley and B. D. Ripley % \name{RODBC-package} \alias{RODBC} \title{ODBC Database Connectivity} \description{ Package \pkg{RODBC} implements ODBC database connectivity. See the package manual for details of installation and use. (This will show up as a vignette, and can be accessed \emph{via} \code{RShowDoc("RODBC", package="RODBC")}.) } \details{ Two groups of functions are provided. The mainly internal \code{odbc*} commands implement low-level access to the ODBC functions of similar name. The \code{sql*} functions operate at a higher level to read, save, copy and manipulate data between data frames and SQL tables. Many connections can be open at once to any combination of DSN/hosts. } \author{ Michael Lapsley and Brian Ripley } \keyword{IO} \keyword{database} RODBC/man/odbc.Rd0000644000176000001440000000670412474440414013117 0ustar ripleyusers% file RODBC/man/odbc.Rd % copyright (C) 1999-2002 M. Lapsley % copyright (C) 2002-2013 B. D. Ripley % \name{odbc-low-level} \alias{odbcQuery} \alias{odbcTables} \alias{odbcFetchRows} \alias{odbcGetErrMsg} \alias{odbcClearError} \title{Low-level ODBC functions} \description{ \R functions which talk directly to the ODBC interface. } \usage{ odbcTables(channel, catalog = NULL, schema = NULL, tableName = NULL, tableType = NULL, literal = FALSE) odbcQuery(channel, query, rows_at_time = attr(channel, "rows_at_time")) odbcFetchRows(channel, max = 0, buffsize = 1000, nullstring = NA_character_, believeNRows = TRUE) odbcGetErrMsg(channel) odbcClearError(channel) } \arguments{ \item{channel}{connection handle as returned by \code{\link{odbcConnect}}, of class \code{"RODBC"}.} \item{catalog, schema, tableName, tableType}{\code{NULL} or character: whether these do anything depends on the ODBC driver. The first three can be length-one character vectors, and \code{tableType} can specify zero or more types.} \item{literal}{logical: should arguments be interpreted literally or including wildcards?} \item{query}{any valid SQL statement.} \item{rows_at_time}{The number of rows to fetch at a time, between 1 and 1024. Not all drivers work correctly with values > 1: see \code{\link{sqlQuery}}.} \item{max}{limit on the number of rows to fetch, with 0 indicating no limit.} \item{buffsize}{the number of records to be transferred at a time.} \item{nullstring}{character string to be used when reading \code{SQL_NULL_DATA} items in a column transferred as character.} \item{believeNRows}{logical. Is the number of rows returned by the ODBC connection believable?} } \details{ These are low-level functions called by \code{\link{sqlTables}}, \code{\link{sqlQuery}}, \code{\link{sqlGetResults}} and similar high-level functions. They are likely to be confind to the \pkg{RODBC} namespace in the near future. \code{odbcTables} enquires about the tables on the connected database. Whether arguments after the first do anything and what they do depends on the ODBC driver: see the help on \code{\link{sqlTables}} for some driver-specific details. \code{odbcFetchRows} returns a data frame of the pending rowset, limited to \code{max} rows if \code{max} is greater than 0. \code{buffsize} may be increased from the default of 1000 rows for increased performance on a large dataset. This only has an effect when \code{max = 0} and \code{believeNRows = FALSE} (either for the ODBC connection or for this function call), in which case \code{buffsize} is used as the initial allocation length of the \R vectors to hold the results. (Values of less than 100 are increased to 100.) If the initial size is too small the vector length is doubled, repeatedly if necessary. } \value{ \code{odbcGetErrMsg} returns a (possibly zero-length) character vector of pending messages. \code{odbcClearError} returns nothing, invisibly. The otheres return \code{1} on success and \code{-1} on failure, indicating that a message is waiting to be retrieved \code{\link{odbcGetErrMsg}}. \code{odbcFetchRows} may return \code{-2} indicating \code{"No Data"}, the message that would be returned by \code{\link{odbcGetErrMsg}}. } \seealso{ \code{\link{sqlQuery}}, \code{\link{odbcConnect}}, \code{\link{odbcGetErrMsg}}. } \author{ Michael Lapsley and Brian Ripley } \keyword{IO} \keyword{database} RODBC/man/sqlColumns.Rd0000644000176000001440000001532614120605454014345 0ustar ripleyusers% file RODBC/man/sqlColumns.Rd % copyright (C) 1999-2002 M. Lapsley % copyright (C) 2002-2021 B. D. Ripley % \name{sqlColumns} \alias{sqlPrimaryKeys} \alias{sqlColumns} \title{Query Column Structure in ODBC Tables} \description{ Enquire about the column structure of tables on an ODBC database connection. } \usage{ sqlColumns(channel, sqtable, errors = FALSE, as.is = TRUE, special = FALSE, catalog = NULL, schema = NULL, literal = FALSE) sqlPrimaryKeys(channel, sqtable, errors = FALSE, as.is = TRUE, catalog = NULL, schema = NULL) } \arguments{ \item{channel}{connection object as returned by \code{\link{odbcConnect}}.} \item{sqtable}{character string: a database table (or view or similar) name accessible from the connected DSN. If wildcards are allowed (only for \code{sqlColumns(special=FALSE)}), results for all matching tables.} \item{errors}{logical: if true halt and display error, else return \code{-1}.} \item{as.is}{see \code{\link{sqlGetResults}}.} \item{special}{logical. If true, return only the column(s) needed to specify a row uniquely. Depending on the database, there might be none.} \item{catalog, schema}{\code{NULL} or character: additional information on where to locate the table: see \code{\link{sqlTables}} for driver-specific details. Wildcards may be supported in \code{schema} for \code{sqlColumns(special=FALSE)}.} \item{literal}{logical: wildcards may be interpreted in \code{schema} and \code{sqtable}: if so this may suppress such interpretation.} } \details{ The argument \code{special = TRUE} to \code{sqlColumns} returns the column(s) needed to specify a row uniquely. This is intended to form the basis of an SQL \code{WHERE} clause for update queries (see \code{\link{sqlUpdate}}), and what (if anything) it does is DBMS-specific. On many DBMSs it will return the primary keys if present: on others it will return a pseudo-column such as \samp{ROWID} (Oracle) or \samp{_ROWID_} (SQLite), either always (Oracle) or if there is no primary key. Primary keys are implemented in some DBMSs and drivers. A table can have a single column designated as a primary key or, in some cases, multiple columns. Primary keys should not be nullable (that is, cannot contain missing values). They can be specified as part of a \samp{CREATE TABLE} statement or added by a \samp{ALTER TABLE} statement. In principle specifying \code{catalog} should select an alternative database in MySQL or an attached database in SQLite, but neither works with current drivers. If \code{sqtable} contains \samp{.} and neither \code{catalog} nor \code{schema} is supplied, an attempt is made to interpret \code{\var{qualifier}.\var{table}} as table \code{\var{table}} in schema \code{\var{qualifier}} (and for MySQL \sQuote{schema} means \sQuote{database}, but the current drivers fail to interpret \code{catalog=}, so this does not yet work). (This can be suppressed by opening the connection with \code{interpretDot = FALSE}.) This has been tested successfully on PostgreSQL, SQL Server, Oracle, DB2 and Mimer. Whether wildcards are accepted for \code{sqtable} and \code{schema} in \code{sqlColumns(special = FALSE)} depends on the driver and may be changed by the value of \code{literal}. For example, the PostgreSQL driver tested allowed wildcards in \code{schema} only if \code{literal = FALSE} and never in \code{sqtable}, whereas two MySQL drivers both failed to match a database when \code{catalog} was supplied and always allowed wildcards in \code{sqtable} even if \code{literal = TRUE}. % SQLiteODBC allows wildcards whatever \code{literal} is. % SQL Server and Oracle find nothing if literal = TRUE, and does % not access attached databases. } \value{ A data frame on success. If no data is returned, either a zero-row data frame or an error. (For example, if there are no primary keys or special column(s) in this table an empty data frame is returned, but if primary keys are not supported by the ODBC driver or DBMS, an error code results.) The column names are not constant across ODBC versions so the data should be accessed by column number. For \code{sqlPrimaryKeys} and \code{sqlColumns(special=FALSE)} the first four columns give the catalog, schema, table and column names (where applicable). For \code{sqlPrimaryKeys} the next two columns are the column sequence number (starting with 1) and name of the primary key: drivers can define further columns. For \code{sqlColumns(special=FALSE)} there are 18 columnns: see \url{https://docs.microsoft.com/en-us/sql/odbc/reference/syntax/sqlcolumns-function?view=sql-server-ver15}. %% \url{http://msdn.microsoft.com/en-us/library/ms711683(VS.85).aspx}. Those beyond the first 6 shown in the examples give the \sQuote{ordinal position} (column 17) and further characteristics of the column type: see \code{\link{sqlTypeInfo}}. For the numeric values returned by \code{sqlColumns(special=TRUE)} see \url{https://docs.microsoft.com/en-us/sql/odbc/reference/syntax/sqlspecialcolumns-function?view=sql-server-ver15}: %% \url{http://msdn.microsoft.com/en-us/library/ms714602(VS.85).aspx}: the scope should always be \code{2} (the session) since that is the scope requested in the call. For the \code{PSEUDO_COLUMN} column, the possible values are \code{0} (unknown), \code{1} (no) and \code{2} (yes). } \seealso{ \code{\link{odbcConnect}}, \code{\link{sqlQuery}}, \code{\link{sqlFetch}}, \code{\link{sqlSave}}, \code{\link{sqlTables}}, \code{\link{odbcGetInfo}} } \author{ Michael Lapsley and Brian Ripley } \examples{ \dontrun{## example results from MySQL > channel <- odbcConnect("test") > sqlDrop(channel, "USArrests", errors = FALSE) # precautionary > sqlSave(channel, USArrests, addPK = TRUE) > sqlColumns(channel, "USArrests") TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME 1 ripley USArrests rownames 12 varchar 2 ripley USArrests Murder 8 double 3 ripley USArrests Assault 4 integer 4 ripley USArrests UrbanPop 4 integer 5 ripley USArrests Rape 8 double ... 12 more columns > sqlColumns(channel, "USArrests", special = TRUE) SCOPE COLUMN_NAME DATA_TYPE TYPE_NAME COLUMN_SIZE BUFFER_LENGTH 1 2 rownames 12 varchar 255 255 DECIMAL_DIGITS PSEUDO_COLUMN 1 NA 1 > sqlPrimaryKeys(channel, "USArrests") TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME KEY_SEQ PK_NAME 1 USArrests rownames 1 PRIMARY > sqlDrop(channel, "USArrests") > close(channel) }} \keyword{IO} \keyword{database} RODBC/man/sqlQuery.Rd0000644000176000001440000001502613656245240014035 0ustar ripleyusers% file RODBC/man/sqlQuery.Rd % copyright (C) 1999-2002 M. Lapsley % copyright (C) 2002-2020 B. D. Ripley % \name{sqlQuery} \alias{sqlQuery} \alias{sqlGetResults} \title{Query an ODBC Database} \description{ Submit an SQL query to an ODBC database, and retrieve the results. } \usage{ sqlQuery(channel, query, errors = TRUE, ..., rows_at_time) sqlGetResults(channel, as.is = FALSE, errors = FALSE, max = 0, buffsize = 1000, nullstring = NA_character_, na.strings = "NA", believeNRows = TRUE, dec = getOption("dec"), stringsAsFactors = FALSE) } \arguments{ \item{channel}{connection handle as returned by \code{\link{odbcConnect}}.} \item{query}{any valid SQL statement.} \item{errors}{logical: if true halt and display error, else return \code{-1}.} \item{\dots}{additional arguments to be passed to \code{sqlGetResults}.} \item{rows_at_time}{The number of rows to fetch at a time, between 1 and 1024. See \sQuote{Details}.} \item{as.is}{which (if any) columns returned as character should be converted to another type? Allowed values are as for \code{\link{read.table}}. See \sQuote{Details}.} \item{max}{limit on the number of rows to fetch, with \code{0} indicating no limit.} \item{buffsize}{an initial guess at the number of rows, used if \code{max = 0} and \code{believeNRows == FALSE}.} \item{nullstring}{character string to be used when reading \code{SQL_NULL_DATA} character items from the database.} \item{na.strings}{character vector of strings to be mapped to \code{NA} when reading character data.} \item{believeNRows}{logical. Is the number of rows returned by the ODBC connection believable? This might have been set to false when the channel was opened, and if so that setting cannot be overridden.} \item{dec}{The character for the decimal place to be assumed when converting character columns to numeric.} \item{stringsAsFactors}{logical: should columns returned as character and not excluded by \code{as.is} and not converted to anything else be converted to factors?} } \details{ \code{sqlQuery} is the workhorse function of \pkg{RODBC}. It sends the SQL statement \code{query} to the server, using connection \code{channel} returned by \code{\link{odbcConnect}}, and retrieves (some or all of) the results \emph{via} \code{sqlGetResults}. The term \sQuote{query} includes any valid SQL statement including table creation, alteration, updates etc as well as \samp{SELECT}s. The \code{sqlQuery} command is a convenience wrapper that first calls \code{\link{odbcQuery}} and then \code{sqlGetResults}. If finer-grained control is needed, for example over the number of rows fetched, additional arguments can be passed to \code{sqlQuery} or the underlying functions called directly. \code{sqlGetResults} is a mid-level function. It is called after a call to \code{sqlQuery} or \code{\link{odbcQuery}} to retrieve waiting results into a data frame. Its main use is with \code{max} set to non-zero when it will retrieve the result set in batches with repeated calls. This is useful for very large result sets which can be subjected to intermediate processing. Where possible \code{sqlGetResults} transfers data in binary form: this happens for columns of (ODBC) SQL types \code{double}, \code{real}, \code{integer} and \code{smallint}, and for binary SQL types (which are transferred as lists of raw vectors, given class \code{"ODBC_binary"}). All other SQL data types are converted to character strings by the ODBC interface. This paragraph applies only to SQL data types which are returned by ODBC as character vectors. If when creating the connection (see \code{\link{odbcConnect})} \code{DBMSencoding} was set to a non-empty value, the character strings are re-encoded. Then if \code{as.is} is true for a column, it is returned as a character vector. Otherwise (where detected) \code{date}, \code{datetime} and \code{timestamp} values are converted to the \code{"Date"} or \code{"POSIXct"} class. (Some drivers seem to confuse times with dates, so times may get converted too. Also, some DBMSs (e.g. Oracle's) idea of \code{date} is a date-time.) Remaining cases are converted by \R using \code{\link{type.convert}}. When character data are to be converted to numeric data, the setting of \code{options("dec")} is used to map the character used by the ODBC driver in setting decimal points---this is set to a locale-specific value when \pkg{RODBC} is initialized if it is not already set. Using \code{buffsize} will yield a marginal increase in speed if set to no less than the maximum number of rows when \code{believeNRows = FALSE}. (If set too small it can result in unnecessarily high memory use as the buffers will need to be expanded.) Modern drivers should work (and work faster, especially if communicating with a remote machine) with \code{rows_at_time = 100}, the usual default, or more. (However, some drivers may mis-fetch multiple rows, in which case set \code{rows_at_time = 1} when creating the connection.) However, if \code{max} is specified then this may fetch too many rows and hence it could be reduced (but then this setting applies to all subsequent fetches from that result set). Another circumstance in which you might want to reduce \code{rows_at_time} is if there are large character columns in the result set: with the default value up to 6Mb of buffer for each such column could be allocated to store intermediate results. } \value{ On success, a data frame (possibly with 0 rows) or character string. On error, if \code{errors = TRUE} a character vector of error message(s), otherwise an invisible integer error code \code{-1} (general, call \code{\link{odbcGetErrMsg}} for details) or \code{-2} (no data, which may not be an error as some SQL statements do return no data). } \seealso{ \code{\link{odbcConnect}}, \code{\link{sqlFetch}}, \code{\link{sqlSave}}, \code{\link{sqlTables}}, \code{\link{odbcQuery}} } \author{ Michael Lapsley and Brian Ripley } \examples{ \dontrun{ channel <- odbcConnect("test") sqlSave(channel, USArrests, rownames = "State", verbose = TRUE) # options(dec=".") # optional, if DBMS is not locale-aware or set to ASCII ## note case of State, Murder, Rape are DBMS-dependent, ## and some drivers need column and table names double-quoted. sqlQuery(channel, paste("select State, Murder from USArrests", "where Rape > 30 order by Murder")) close(channel) }} \keyword{IO} \keyword{database} RODBC/man/sqlSave.Rd0000644000176000001440000001576412474440414013634 0ustar ripleyusers% file RODBC/man/sqlSave.Rd % copyright (C) 1999-2002 M. Lapsley % copyright (C) 2002-2013 B. D. Ripley % \name{sqlSave} \alias{sqlSave} \alias{sqlUpdate} \title{Write a Data Frame to a Table in an ODBC Database} \description{ Write or update a table in an ODBC database. } \usage{ sqlSave(channel, dat, tablename = NULL, append = FALSE, rownames = TRUE, colnames = FALSE, verbose = FALSE, safer = TRUE, addPK = FALSE, typeInfo, varTypes, fast = TRUE, test = FALSE, nastring = NULL) sqlUpdate(channel, dat, tablename = NULL, index = NULL, verbose = FALSE, test = FALSE, nastring = NULL, fast = TRUE) } \arguments{ \item{channel}{connection handle returned by \code{\link{odbcConnect}}.} \item{dat}{a data frame.} \item{tablename}{character: a database table name accessible from the connected DSN. If missing, the name of \code{dat}.} \item{index}{character. Name(s) of index column(s) to be used.} \item{append}{logical. Should data be appended to an existing table?} \item{rownames}{either logical or character. If logical, save the row names as the first column \code{rownames} in the table? If character, the column name under which to save the rownames.} \item{colnames}{logical: save column names as the first row of table?} \item{verbose}{display statements as they are sent to the server?} \item{safer}{logical. If true, create a non-existing table but only allow appends to an existing table. If false, allow \code{sqlSave} to attempt to delete all the rows of an existing table, or to drop it.} \item{addPK}{logical. Should rownames (if included) be specified as a primary key?} \item{typeInfo}{optional list of DBMS datatypes. Should have elements named \code{"character"}, \code{"double"} and \code{"integer"}.} \item{varTypes}{an optional named character vector giving the DBMSs datatypes to be used for some (or all) of the columns if a table is to be created.} \item{fast}{logical. If false, write data a row at a time. If true, use a parametrized \code{INSERT INTO} or \code{UPDATE} query to write all the data in one operation.} \item{test}{logical: if \code{TRUE} show what would be done, only.} \item{nastring}{optional character string to be used for writing \code{NA}s to the database. See \sQuote{Details}.} } \details{ \code{sqlSave} saves the data frame \code{dat} in the table \code{tablename}. If the table exists and has the appropriate structure it is used, or else it is created anew. If a new table is created, column names are remapped by removing any characters which are not alphanumeric or \code{_}, and the types are selected by consulting arguments \code{varTypes} and \code{typeInfo}, then looking the driver up in the database used by \code{\link{getSqlTypeInfo}} or failing that by interrogating \code{\link{sqlTypeInfo}}. If \code{rownames = TRUE} the first column of the table will be the row labels with colname \code{rowname}: \code{rownames} can also be a string giving the desired column name (see \sQuote{Examples}). If \code{colnames} is true, the column names are copied into row 1. This is intended for cases where case conversion alters the original column names and it is desired that they are retained. Note that there are drawbacks to this approach: it presupposes that the rows will be returned in the correct order; not always valid. It will also cause numeric columns to be returned as factors. Argument \code{addPK = TRUE} causes the row names to be marked as a primary key. This is usually a good idea, and may allow database updates to be done. However, the ODBC drivers for some DBMSs (e.g. Access) do not support primary keys, and earlier versions of the PostgreSQL ODBC driver generated internal memory corruption if this option is used. \code{sqlUpdate} updates the table where the rows already exist. Data frame \code{dat} should contain columns with names that map to (some of) the columns in the table. It also needs to contain the column(s) specified by \code{index} which together identify the rows to be updated. If \code{index = NULL}, the function tries to identify such columns. First it looks for a primary key for the table, then for the column(s) that the database regards as the optimal for defining a row uniquely (these are returned by \code{\link{sqlColumns}(special = TRUE)}: if this returns a pseudo-column it cannot be used as we do not have values for the rows to be changed). Finally, the row names are used if they are stored as column \code{"rownames"} in the table. When \code{fast = TRUE}, \code{NA}s are always written as SQL nulls in the database, and this is also the case if \code{fast = FALSE} and \code{nastring = NULL} (its default value). Otherwise \code{nastring} gives the character string to be sent to the driver when \code{NA}s are encountered: for all but the simplest applications it will be better to prepare a data frame with non-null missing values already substituted. If \code{fast = FALSE} all data are sent as character strings. If \code{fast = TRUE}, integer and double vectors are sent as types \code{SQL_C_SLONG} and \code{SQL_C_DOUBLE} respectively. Some drivers seem to require \code{fast = FALSE} to send other types, e.g. \code{datetime}. SQLite's approach is to use the data to determine how it is stored, and this does not work well with \code{fast = TRUE}. If \code{tablename} contains \samp{.} and neither \code{catalog} nor \code{schema} is supplied, an attempt is made to interpret \code{\var{qualifier}.\var{table}} names as table \code{\var{table}} in schema \code{\var{qualifier}} (and for MySQL \sQuote{schema} means \sQuote{database}). (This can be suppressed by opening the connection with \code{interpretDot = FALSE}.) } \section{Warning}{ \code{sqlSave(safer = FALSE)} uses the \sQuote{great white shark} method of testing tables (bite it and see). The logic will unceremoniously \code{DROP} the table and create it anew with its own choice of column types in its attempt to find a writable solution. \code{test = TRUE} will not necessarily predict this behaviour. Attempting to write indexed columns or writing to pseudo-columns are less obvious causes of failed writes followed by a \code{DROP}. If your table structure is precious it is up to you back it up. } \value{ \code{1} invisibly for success (and failures cause errors). } \seealso{ \code{\link{sqlFetch}}, \code{\link{sqlQuery}}, \code{\link{odbcConnect}}, \code{\link{odbcGetInfo}} } \author{ Michael Lapsley and Brian Ripley } \examples{ \dontrun{ channel <- odbcConnect("test") sqlSave(channel, USArrests, rownames = "state", addPK=TRUE) sqlFetch(channel, "USArrests", rownames = "state") # get the lot foo <- cbind(state=row.names(USArrests), USArrests)[1:3, c(1,3)] foo[1,2] <- 222 sqlUpdate(channel, foo, "USArrests") sqlFetch(channel, "USArrests", rownames = "state", max = 5) sqlDrop(channel, "USArrests") close(channel) }} \keyword{IO} \keyword{database} RODBC/man/odbcConnect.Rd0000644000176000001440000002225412474440414014427 0ustar ripleyusers% file RODBC/man/odbcConnect.Rd % copyright (C) 1999-2002 M. Lapsley % copyright (C) 2002-2013 B. D. Ripley % \name{odbcConnect} \alias{odbcConnect} \alias{odbcDriverConnect} \alias{odbcReConnect} #ifdef windows \alias{odbcConnectAccess} \alias{odbcConnectDbase} \alias{odbcConnectExcel} \alias{odbcConnectAccess2007} \alias{odbcConnectExcel2007} #endif \title{ODBC Open Connections} \description{ Open connections to ODBC databases. } \usage{ odbcConnect(dsn, uid = "", pwd = "", ...) odbcDriverConnect(connection = "", case, believeNRows = TRUE, colQuote, tabQuote = colQuote, interpretDot = TRUE, DBMSencoding = "", rows_at_time = 100, readOnlyOptimize = FALSE) odbcReConnect(channel, ...) #ifdef windows odbcConnectAccess(access.file, uid = "", pwd = "", ...) odbcConnectAccess2007(access.file, uid = "", pwd = "", ...) odbcConnectDbase(dbf.file, ...) odbcConnectExcel(xls.file, readOnly = TRUE, ...) odbcConnectExcel2007(xls.file, readOnly = TRUE, ...) #endif }%" \arguments{ \item{dsn}{character string. A registered data source name.} \item{uid, pwd}{UID and password for authentication (if required).} \item{connection}{character string. See your ODBC documentation for the format.} \item{...}{further arguments to be passed to \code{odbcDriverConnect}.} \item{case}{Controls case changes for different DBMS engines. See \sQuote{Details}.} \item{channel}{RODBC connection object returned by \code{odbcConnect}.} \item{believeNRows}{logical. Is the number of rows returned by the ODBC connection believable? Not true for some Oracle and Sybase drivers, apparently, nor for Actual Technologies' SQLite driver for Mac OS X.} \item{colQuote, tabQuote}{how to quote column (table) names in SQL statements. Can be of length 0 (no quoting), a length--1 character vector giving the quote character to be used at both ends, or a length--2 character vector giving the beginning and ending quotes. ANSI SQL uses double quotes, but the default mode for a MySQL server is to use backticks. The defaults are backtick (\samp{`}) if the DBMS is identified as \code{"MySQL"} by the driver, and double quote otherwise. #ifdef windows The Access, DBase and Excel wrappers set \code{tabQuote = c("[", "]")}. #endif A user reported that the SAS ODBC driver required \code{colQuote = NULL}. } \item{interpretDot}{logical. Should table names of the form \code{\var{qualifier}.\var{table}} be interpreted as table \code{\var{table}} in schema \code{\var{qualifier}} (and for MySQL \sQuote{schema} means database)?} \item{DBMSencoding}{character string naming the encoding returned by the DBMS. The default means the encoding of the locale \R is running under. Values other than the default require \code{\link{iconv}} to be available: it always is from \R 2.10.0, otherwise see \code{\link{capabilities}}.} \item{rows_at_time}{The default number of rows to fetch at a time, between 1 and 1024. Not all drivers work correctly with values > 1: see \code{\link{sqlQuery}}.} \item{readOnlyOptimize}{logical: should the connection be optimized for read-only access?} #ifdef windows \item{access.file, dbf.file, xls.file}{file of an appropriate type.} \item{readOnly}{logical: should the connection be read-only?} #endif } \details{ \code{odbcConnect} establishes a connection to the specified DSN, and \code{odbcDriverConnect} allows a more flexible specification \emph{via} a connection string. \code{odbcConnect} uses the connection string\cr \code{"DSN=\var{dsn};UID=\var{uid};PWD=\var{pwd}"},\cr omitting the last two components if they are empty. #ifdef windows See the examples for other uses of connection strings. Under the Windows GUI, specifying an incomplete \code{connection}, for example the default \code{""}, will bring up a dialog box to complete the information required. (This does not work from \code{Rterm.exe} unless a driver is specified, a Windows restriction.) #endif For DBMSs that translate table and column names \code{case} must be set appropriately. Allowable values are \code{"nochange"}, \code{"toupper"} and \code{"tolower"} as well as the names of databases where the behaviour is known to us (currently \code{"mysql"}, which maps to lower case on Windows but not on Linux, \code{"postgresql"} (lower), and \code{"msaccess"} (nochange)). If \code{case} is not specified, the default is \code{"nochange"} unless the appropriate value can be figured out from the DBMS name reported by the ODBC driver. It is likely that \code{"toupper"} is desirable on IBM's DB2, but this is not enforced. #ifdef windows (The DBase driver is unusual: it preserves names on reading, but converts both table and column names to upper case on writing, and truncates table names to 8 characters. RODBC does not attempt to do any mapping for that driver.) #endif Note that \code{readOnlyOptimize} may do nothing, and is \strong{not} guaranteed to enforce read-only access. With drivers that support it, it is used to optimize locking strategies, transaction management and so on. It does make access to Mimer read-only, and has no effect on MySQL. Function \code{odbcReConnect} re-connects to a database using the settings of an existing (and presumably now closed) channel object. Arguments given in the original call can be overridden as needed. Note that if a password is supplied (either as a \code{pwd} argument or as part of the DSN) it may be stored in the \code{connection.string} element of the return value, but the value is (from \pkg{RODBC} 1.3-0) replaced by \code{******}. (This will break \code{odbcReConnect}.) #ifdef windows \code{odbcConnectAccess}, \code{odbcConnectDbase} and \code{odbcConnectExcel} are convenience wrappers to generate connection strings for those file types. The files given can be relative to the \R working directory or absolute paths (and it seems also relative to the user's home directory). The file name can be omitted, which will on \code{Rgui} bring up a dialog box to search for a file. \bold{Note:} they will only work with English-language 32-bit versions of the Microsoft drivers, which may or may not be installed in other locales, and are not usable from 64-bit \R. The \code{2007} versions work with the drivers which are installed with Office 2007/2010 and give access to formats such as \file{*.xlsx} and \file{*.accdb}. These drivers are also available separately and there is a 64-bit version: see the package manual. (You must have the 32-bit drivers when using 32-bit \R and the 64-bit drivers when using 64-bit \R: otherwise there will be a cryptic message about a driver not being found. And the 64-bit drivers cannot be installed alongside 32-bit Microsoft Office, and \emph{vice versa}. See the package manual for some of the peculiarities of the Excel drivers. \code{readOnly = TRUE} may allow very limited changes (to insert and update rows). #endif If it is possible to set the DBMS or ODBC driver to communicate in the character set of the \R session then this should be done. For example, MySQL can set the communication character set \emph{via} SQL, e.g. \samp{SET NAMES 'utf8'}. } \note{ Several errors which have been reported as bugs in \pkg{RODBC} 1.3-0 which were in fact ODBC driver errors that can be circumvented by setting \code{rows_at_time = 1} (and the warning under that argument has always been there). The drivers involved have been third-party Oracle drivers and old SQL Server drivers. } \value{ A non-negative integer which is used as handle if no error occurred, \code{-1} otherwise. A successful return has class \code{"RODBC"}, and attributes including \item{connection.string}{the full ODBC connection string.} \item{case}{the value of \code{case}.} \item{id}{a numeric ID for the channel.} \item{believeNRows}{the value of \code{believeNRows}.} \item{rows_at_time}{the value of \code{rows_at_time}.} } \author{ Michael Lapsley, Brian Ripley } \seealso{ \code{\link{odbcClose}}, \code{\link{sqlQuery}}, \code{\link{odbcGetInfo}} } \examples{\dontrun{ #ifdef unix # MySQL channel <- odbcConnect("test", uid="ripley", pwd="secret") # PostgreSQL: 'case' should be detected automatically channel <- odbcConnect("pg", uid="ripley", pwd="secret", case="postgresql") #endif #ifdef windows # interactive specification under RGui channel <- odbcDriverConnect("") # MySQL on Windows -- MySQL maps to lower case on Windows only channel <- odbcConnect("testdb", uid="ripley", case="tolower") # Access channel <- odbcConnect("testacc") # if this was set up as a DSN channel2 <- odbcConnectAccess("test.mdb", uid="ripley") # Excel channel <- odbcConnect("bdr.xls") # if this was set up as a DSN channel2 <- odbcDriverConnect(paste("DRIVER=Microsoft Excel Driver (*.xls)", "DBQ=D:\\bdr\\hills.xls", "ReadOnly=False", sep = ";")) ## or "DRIVER=Microsoft Excel Driver (*.xls *.xlsx, *.xlsm, *.xlsb)" channel3 <- odbcConnectExcel("hills.xls") #endif # re-connection odbcCloseAll() channel <- odbcReConnect(channel) # must re-assign as the data may change }} \keyword{IO} \keyword{database} RODBC/man/odbcDataSources.Rd0000644000176000001440000000276612474440414015261 0ustar ripleyusers% file RODBC/man/odbcDataSources.Rd % copyright (C) 2006-2013 B. D. Ripley % \name{odbcDataSources} \alias{odbcDataSources} \title{List ODBC Data Sources} \description{ List known ODBC data sources. } \usage{ odbcDataSources(type = c("all", "user", "system")) } \arguments{ \item{type}{User DSNs, system DSNs or all?} } \value{ A named character vector of DSN descriptions, with names the DSNs. } \author{ Brian Ripley } \examples{\dontrun{ > odbcDataSources() test sqlite3 testpg "MySQL" "sqlite3" "PostgreSQL" or testdb3 sqlite3 "MySQL ODBC 3.51 Driver" "SQLite3 ODBC Driver" bdr.xls testacc "Microsoft Excel Driver (*.xls)" "Microsoft Access Driver (*.mdb)" testpg SQLServer "PostgreSQL ANSI" "SQL Native Client" Oracle DB2 "Oracle in OraDb10g_home1" "IBM DB2 ODBC DRIVER - DB2COPY1" testpgw testdb5 "PostgreSQL Unicode" "MySQL ODBC 5.1 Driver" SQLite Datasource SQLite UTF-8 Datasource "SQLite ODBC Driver" "SQLite ODBC (UTF-8) Driver" SQLite3 Datasource mimdb "SQLite3 ODBC Driver" "MIMER" }} \keyword{utilities}RODBC/DESCRIPTION0000644000176000001440000000135514120710456012645 0ustar ripleyusersPackage: RODBC Version: 1.3-19 Revision: $Rev: 3553 $ Date: 2021-09-18 Authors@R: c(person("Brian", "Ripley", role = c("aut", "cre"), email = "ripley@stats.ox.ac.uk"), person("Michael", "Lapsley", role = "aut", comment = "1999 to Oct 2002")) Title: ODBC Database Access Description: An ODBC database interface. SystemRequirements: An ODBC3 driver manager and drivers. Depends: R (>= 4.0.0) Imports: stats LazyLoad: yes Biarch: yes License: GPL-2 | GPL-3 NeedsCompilation: yes Packaged: 2021-09-16 12:28:12 UTC; ripley Author: Brian Ripley [aut, cre], Michael Lapsley [aut] (1999 to Oct 2002) Maintainer: Brian Ripley Repository: CRAN Date/Publication: 2021-09-16 18:47:10 UTC RODBC/build/0000755000176000001440000000000014120634134012230 5ustar ripleyusersRODBC/build/vignette.rds0000644000176000001440000000032514120634134014567 0ustar ripleyusers‹‹àb```b`add`b2™… 1# 'æ òwqrÖ Ê+G“‰+8ççå¥&—d–e–Tb×Y’†&²UÌGgk```aBÌKÌM-FSÉî’Zš—þ‡Ã0ΔĒĤÄb^ŒÿÑpx§V–çÁ AQÃUÃâ–™“ sHHf œÃàâe2¡; Ã|qå—ëÁ<Å ‹ ñÐ}žœ“XŒîs.·ôÒŠ€úAî´¾¨£ÃRODBC/tests/0000755000176000001440000000000012234552053012276 5ustar ripleyusersRODBC/tests/sqlite3.Rout.save0000644000176000001440000005462311754561777015527 0ustar ripleyusers R version 2.9.1 Patched (2009-07-08 r48919) Copyright (C) 2009 The R Foundation for Statistical Computing ISBN 3-900051-07-0 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > ##-*- R -*- > library(RODBC) > library(MASS) > USArrests[1,2] <- NA > hills <- hills[1:15,] > row.names(hills)[12] <- "Dollar ('$')" > > channel <- odbcConnect("sqlite3") > if(!inherits(channel, "RODBC")) q("no") > sqlTables(channel) [1] TABLE_CAT TABLE_SCHEM TABLE_NAME TABLE_TYPE REMARKS <0 rows> (or 0-length row.names) > sqlDrop(channel, "USArrests", errors = FALSE) > sqlSave(channel, USArrests, addPK = TRUE) > sqlTables(channel) TABLE_CAT TABLE_SCHEM TABLE_NAME TABLE_TYPE REMARKS 1 USArrests TABLE > sqlColumns(channel, "USArrests") TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME 1 USArrests rownames 12 varchar(255) 2 USArrests Murder 8 double 3 USArrests Assault 4 integer 4 USArrests UrbanPop 4 integer 5 USArrests Rape 8 double COLUMN_SIZE BUFFER_LENGTH DECIMAL_DIGITS NUM_PREC_RADIX NULLABLE REMARKS 1 255 255 10 0 0 2 53 54 10 0 1 3 9 10 10 0 1 4 9 10 10 0 1 5 53 54 10 0 1 COLUMN_DEF SQL_DATA_TYPE SQL_DATETIME_SUB CHAR_OCTET_LENGTH ORDINAL_POSITION 1 NULL 12 NA 16384 1 2 NULL 8 NA 16384 2 3 NULL 4 NA 16384 3 4 NULL 4 NA 16384 4 5 NULL 8 NA 16384 5 IS_NULLABLE 1 NO 2 YES 3 YES 4 YES 5 YES > sqlColumns(channel, "USArrests", special=TRUE) SCOPE COLUMN_NAME DATA_TYPE TYPE_NAME COLUMN_SIZE BUFFER_LENGTH 1 2 rownames 12 varchar(255) 0 255 DECIMAL_DIGITS PSEUDO_COLUMN NULLABLE 1 255 1 1 > sqlPrimaryKeys(channel, "USArrests") TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME KEY_SEQ 1 USArrests rownames 1 PK_NAME 1 sqlite_autoindex_USArrests_1 > sqlFetch(channel, "USArrests") Murder Assault UrbanPop Rape Alabama 13.2 NA 58 21.2 Alaska 10.0 263 48 44.5 Arizona 8.1 294 80 31.0 Arkansas 8.8 190 50 19.5 California 9.0 276 91 40.6 Colorado 7.9 204 78 38.7 Connecticut 3.3 110 77 11.1 Delaware 5.9 238 72 15.8 Florida 15.4 335 80 31.9 Georgia 17.4 211 60 25.8 Hawaii 5.3 46 83 20.2 Idaho 2.6 120 54 14.2 Illinois 10.4 249 83 24.0 Indiana 7.2 113 65 21.0 Iowa 2.2 56 57 11.3 Kansas 6.0 115 66 18.0 Kentucky 9.7 109 52 16.3 Louisiana 15.4 249 66 22.2 Maine 2.1 83 51 7.8 Maryland 11.3 300 67 27.8 Massachusetts 4.4 149 85 16.3 Michigan 12.1 255 74 35.1 Minnesota 2.7 72 66 14.9 Mississippi 16.1 259 44 17.1 Missouri 9.0 178 70 28.2 Montana 6.0 109 53 16.4 Nebraska 4.3 102 62 16.5 Nevada 12.2 252 81 46.0 New Hampshire 2.1 57 56 9.5 New Jersey 7.4 159 89 18.8 New Mexico 11.4 285 70 32.1 New York 11.1 254 86 26.1 North Carolina 13.0 337 45 16.1 North Dakota 0.8 45 44 7.3 Ohio 7.3 120 75 21.4 Oklahoma 6.6 151 68 20.0 Oregon 4.9 159 67 29.3 Pennsylvania 6.3 106 72 14.9 Rhode Island 3.4 174 87 8.3 South Carolina 14.4 279 48 22.5 South Dakota 3.8 86 45 12.8 Tennessee 13.2 188 59 26.9 Texas 12.7 201 80 25.5 Utah 3.2 120 80 22.9 Vermont 2.2 48 32 11.2 Virginia 8.5 156 63 20.7 Washington 4.0 145 73 26.2 West Virginia 5.7 81 39 9.3 Wisconsin 2.6 53 66 10.8 Wyoming 6.8 161 60 15.6 > sqlQuery(channel, "select rownames, Murder from USArrests where Rape > 30 order by Murder") rownames Murder 1 Colorado 7.9 2 Arizona 8.1 3 California 9.0 4 Alaska 10.0 5 New Mexico 11.4 6 Michigan 12.1 7 Nevada 12.2 8 Florida 15.4 > foo <- USArrests[1:3, 2, drop = FALSE] > foo[1,1] <- 236 > sqlUpdate(channel, foo, "USArrests") > sqlFetch(channel, "USArrests", max = 5) Murder Assault UrbanPop Rape Alabama 13.2 236 58 21.2 Alaska 10.0 263 48 44.5 Arizona 8.1 294 80 31.0 Arkansas 8.8 190 50 19.5 California 9.0 276 91 40.6 > sqlFetchMore(channel, max = 8) Murder Assault UrbanPop Rape Colorado 7.9 204 78 38.7 Connecticut 3.3 110 77 11.1 Delaware 5.9 238 72 15.8 Florida 15.4 335 80 31.9 Georgia 17.4 211 60 25.8 Hawaii 5.3 46 83 20.2 Idaho 2.6 120 54 14.2 Illinois 10.4 249 83 24.0 > sqlDrop(channel, "USArrests") > > Btest <- Atest <- + data.frame(x = c(paste(1:100, collapse="+"), letters[2:4]), rn=1:4) > Btest[,1] <- Atest[c(4,1:3),1] > sqlDrop(channel, "Atest", errors = FALSE) > colspec <- list(character="varchar(1000)", double="double", + integer="integer", logical="varchar(5)") > sqlSave(channel, Atest, typeInfo = colspec) > sqlColumns(channel, "Atest")[, 1:6] TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME 1 Atest rownames -1 varchar(1000) 2 Atest x -1 varchar(1000) 3 Atest rn 4 integer > sqlFetch(channel, "Atest") x 1 1+2+3+4+5+6+7+8+9+10+11+12+13+14+15+16+17+18+19+20+21+22+23+24+25+26+27+28+29+30+31+32+33+34+35+36+37+38+39+40+41+42+43+44+45+46+47+48+49+50+51+52+53+54+55+56+57+58+59+60+61+62+63+64+65+66+67+68+69+70+71+72+73+74+75+76+77+78+79+80+81+82+83+84+85+86+87+88+89+90+91+92+93+94+95+96+97+98+99+100 2 b 3 c 4 d rn 1 1 2 2 3 3 4 4 > sqlUpdate(channel, Btest, "Atest", index = "rn") > sqlFetch(channel, "Atest") x 1 d 2 1+2+3+4+5+6+7+8+9+10+11+12+13+14+15+16+17+18+19+20+21+22+23+24+25+26+27+28+29+30+31+32+33+34+35+36+37+38+39+40+41+42+43+44+45+46+47+48+49+50+51+52+53+54+55+56+57+58+59+60+61+62+63+64+65+66+67+68+69+70+71+72+73+74+75+76+77+78+79+80+81+82+83+84+85+86+87+88+89+90+91+92+93+94+95+96+97+98+99+100 3 b 4 c rn 1 1 2 2 3 3 4 4 > sqlDrop(channel, "Atest") > varspec <- "varchar(1000)"; names(varspec) <- "x" > sqlSave(channel, Atest, varTypes = varspec) > sqlColumns(channel, "Atest")[, 1:6] TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME 1 Atest rownames 12 varchar(255) 2 Atest x -1 varchar(1000) 3 Atest rn 4 integer > sqlFetch(channel, "Atest") x 1 1+2+3+4+5+6+7+8+9+10+11+12+13+14+15+16+17+18+19+20+21+22+23+24+25+26+27+28+29+30+31+32+33+34+35+36+37+38+39+40+41+42+43+44+45+46+47+48+49+50+51+52+53+54+55+56+57+58+59+60+61+62+63+64+65+66+67+68+69+70+71+72+73+74+75+76+77+78+79+80+81+82+83+84+85+86+87+88+89+90+91+92+93+94+95+96+97+98+99+100 2 b 3 c 4 d rn 1 1 2 2 3 3 4 4 > sqlDrop(channel, "Atest") > > dates <- as.character(seq(as.Date("2004-01-01"), by="week", length=10)) > times <- paste(1:10, "05", "00", sep=":") > dt <- as.POSIXct(paste(dates, times)) > Dtest <- data.frame(dates, times, dt, logi=c(TRUE, NA, FALSE, FALSE, FALSE)) > varspec <- c("date", "time", "timestamp", "varchar(5)") > names(varspec) <- names(Dtest) > sqlDrop(channel, "Dtest", errors = FALSE) > sqlSave(channel, Dtest, varTypes = varspec) > sqlColumns(channel, "Dtest") TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME 1 Dtest rownames 12 varchar(255) 2 Dtest dates 91 date 3 Dtest times 92 time 4 Dtest dt 93 timestamp 5 Dtest logi 12 varchar(5) COLUMN_SIZE BUFFER_LENGTH DECIMAL_DIGITS NUM_PREC_RADIX NULLABLE REMARKS 1 255 255 10 0 1 2 0 10 10 0 1 3 0 8 10 0 1 4 0 32 10 0 1 5 5 5 10 0 1 COLUMN_DEF SQL_DATA_TYPE SQL_DATETIME_SUB CHAR_OCTET_LENGTH ORDINAL_POSITION 1 NULL 12 NA 16384 1 2 NULL 91 NA 16384 2 3 NULL 92 NA 16384 3 4 NULL 93 NA 16384 4 5 NULL 12 NA 16384 5 IS_NULLABLE 1 YES 2 YES 3 YES 4 YES 5 YES > sqlFetch(channel, "Dtest") dates times dt logi 1 2004-01-01 1:05:00 2004-01-01 01:05:00 TRUE 2 2004-01-08 2:05:00 2004-01-08 02:05:00 NA 3 2004-01-15 3:05:00 2004-01-15 03:05:00 FALSE 4 2004-01-22 4:05:00 2004-01-22 04:05:00 FALSE 5 2004-01-29 5:05:00 2004-01-29 05:05:00 FALSE 6 2004-02-05 6:05:00 2004-02-05 06:05:00 TRUE 7 2004-02-12 7:05:00 2004-02-12 07:05:00 NA 8 2004-02-19 8:05:00 2004-02-19 08:05:00 FALSE 9 2004-02-26 9:05:00 2004-02-26 09:05:00 FALSE 10 2004-03-04 10:05:00 2004-03-04 10:05:00 FALSE > sqlDrop(channel, "Dtest", errors = FALSE) > sqlSave(channel, Dtest, varTypes = varspec, fast = FALSE) > sqlColumns(channel, "Dtest") TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME 1 Dtest rownames 12 varchar(255) 2 Dtest dates 91 date 3 Dtest times 92 time 4 Dtest dt 93 timestamp 5 Dtest logi 12 varchar(5) COLUMN_SIZE BUFFER_LENGTH DECIMAL_DIGITS NUM_PREC_RADIX NULLABLE REMARKS 1 255 255 10 0 1 2 0 10 10 0 1 3 0 8 10 0 1 4 0 32 10 0 1 5 5 5 10 0 1 COLUMN_DEF SQL_DATA_TYPE SQL_DATETIME_SUB CHAR_OCTET_LENGTH ORDINAL_POSITION 1 NULL 12 NA 16384 1 2 NULL 91 NA 16384 2 3 NULL 92 NA 16384 3 4 NULL 93 NA 16384 4 5 NULL 12 NA 16384 5 IS_NULLABLE 1 YES 2 YES 3 YES 4 YES 5 YES > sqlFetch(channel, "Dtest") dates times dt logi 1 2004-01-01 1:05:00 2004-01-01 01:05:00 TRUE 2 2004-01-08 2:05:00 2004-01-08 02:05:00 NA 3 2004-01-15 3:05:00 2004-01-15 03:05:00 FALSE 4 2004-01-22 4:05:00 2004-01-22 04:05:00 FALSE 5 2004-01-29 5:05:00 2004-01-29 05:05:00 FALSE 6 2004-02-05 6:05:00 2004-02-05 06:05:00 TRUE 7 2004-02-12 7:05:00 2004-02-12 07:05:00 NA 8 2004-02-19 8:05:00 2004-02-19 08:05:00 FALSE 9 2004-02-26 9:05:00 2004-02-26 09:05:00 FALSE 10 2004-03-04 10:05:00 2004-03-04 10:05:00 FALSE > sqlDrop(channel, "Dtest") > > sqlDrop(channel, "hills test", errors = FALSE) > sqlSave(channel, hills, "hills test", verbose=TRUE) Query: CREATE TABLE "hills test" ("rownames" varchar(255), "dist" double, "climb" integer, "time" double) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( ?,?,?,? ) Binding: 'rownames' DataType 12, ColSize 255 Binding: 'dist' DataType 8, ColSize 53 Binding: 'climb' DataType 4, ColSize 9 Binding: 'time' DataType 8, ColSize 53 Parameters: no: 1: rownames Greenmantle/***/no: 2: dist 2.5/***/no: 3: climb 650/***/no: 4: time 16.083/***/ no: 1: rownames Carnethy/***/no: 2: dist 6/***/no: 3: climb 2500/***/no: 4: time 48.35/***/ no: 1: rownames Craig Dunain/***/no: 2: dist 6/***/no: 3: climb 900/***/no: 4: time 33.65/***/ no: 1: rownames Ben Rha/***/no: 2: dist 7.5/***/no: 3: climb 800/***/no: 4: time 45.6/***/ no: 1: rownames Ben Lomond/***/no: 2: dist 8/***/no: 3: climb 3070/***/no: 4: time 62.267/***/ no: 1: rownames Goatfell/***/no: 2: dist 8/***/no: 3: climb 2866/***/no: 4: time 73.217/***/ no: 1: rownames Bens of Jura/***/no: 2: dist 16/***/no: 3: climb 7500/***/no: 4: time 204.617/***/ no: 1: rownames Cairnpapple/***/no: 2: dist 6/***/no: 3: climb 800/***/no: 4: time 36.367/***/ no: 1: rownames Scolty/***/no: 2: dist 5/***/no: 3: climb 800/***/no: 4: time 29.75/***/ no: 1: rownames Traprain/***/no: 2: dist 6/***/no: 3: climb 650/***/no: 4: time 39.75/***/ no: 1: rownames Lairig Ghru/***/no: 2: dist 28/***/no: 3: climb 2100/***/no: 4: time 192.667/***/ no: 1: rownames Dollar ('$')/***/no: 2: dist 5/***/no: 3: climb 2000/***/no: 4: time 43.05/***/ no: 1: rownames Lomonds/***/no: 2: dist 9.5/***/no: 3: climb 2200/***/no: 4: time 65/***/ no: 1: rownames Cairn Table/***/no: 2: dist 6/***/no: 3: climb 500/***/no: 4: time 44.133/***/ no: 1: rownames Eildon Two/***/no: 2: dist 4.5/***/no: 3: climb 1500/***/no: 4: time 26.933/***/ > sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=TRUE) Query: UPDATE "hills test" SET "dist"=?, "climb"=?, "time"=? WHERE "rownames"=? Binding: 'dist' DataType 8, ColSize 53 Binding: 'climb' DataType 4, ColSize 9 Binding: 'time' DataType 8, ColSize 53 Binding: 'rownames' DataType 12, ColSize 255 Parameters: no: 1: dist 28/***/no: 2: climb 2100/***/no: 3: time 192.667/***/no: 4: rownames Lairig Ghru/***/ no: 1: dist 5/***/no: 2: climb 2000/***/no: 3: time 43.05/***/no: 4: rownames Dollar ('$')/***/ no: 1: dist 9.5/***/no: 2: climb 2200/***/no: 3: time 65/***/no: 4: rownames Lomonds/***/ no: 1: dist 6/***/no: 2: climb 500/***/no: 3: time 44.133/***/no: 4: rownames Cairn Table/***/ no: 1: dist 4.5/***/no: 2: climb 1500/***/no: 3: time 26.933/***/no: 4: rownames Eildon Two/***/ > sqlFetch(channel, "hills test") dist climb time Greenmantle 2.5 650 16.083 Carnethy 6.0 2500 48.350 Craig Dunain 6.0 900 33.650 Ben Rha 7.5 800 45.600 Ben Lomond 8.0 3070 62.267 Goatfell 8.0 2866 73.217 Bens of Jura 16.0 7500 204.617 Cairnpapple 6.0 800 36.367 Scolty 5.0 800 29.750 Traprain 6.0 650 39.750 Lairig Ghru 28.0 2100 192.667 Dollar ('$') 5.0 2000 43.050 Lomonds 9.5 2200 65.000 Cairn Table 6.0 500 44.133 Eildon Two 4.5 1500 26.933 > sqlDrop(channel, "hills test") > sqlSave(channel, hills, "hills test", verbose=TRUE, fast=FALSE) Query: CREATE TABLE "hills test" ("rownames" varchar(255), "dist" double, "climb" integer, "time" double) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Greenmantle', 2.5, 650, 16.083 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Carnethy', 6.0, 2500, 48.350 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Craig Dunain', 6.0, 900, 33.650 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Ben Rha', 7.5, 800, 45.600 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Ben Lomond', 8.0, 3070, 62.267 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Goatfell', 8.0, 2866, 73.217 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Bens of Jura', 16.0, 7500, 204.617 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Cairnpapple', 6.0, 800, 36.367 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Scolty', 5.0, 800, 29.750 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Traprain', 6.0, 650, 39.750 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Lairig Ghru', 28.0, 2100, 192.667 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Dollar (''$'')', 5.0, 2000, 43.050 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Lomonds', 9.5, 2200, 65.000 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Cairn Table', 6.0, 500, 44.133 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Eildon Two', 4.5, 1500, 26.933 ) > sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=FALSE) Query: UPDATE "hills test" SET "dist"=28.0, "climb"=2100, "time"=192.667 WHERE "rownames"='Lairig Ghru' Query: UPDATE "hills test" SET "dist"= 5.0, "climb"=2000, "time"= 43.050 WHERE "rownames"='Dollar (''$'')' Query: UPDATE "hills test" SET "dist"= 9.5, "climb"=2200, "time"= 65.000 WHERE "rownames"='Lomonds' Query: UPDATE "hills test" SET "dist"= 6.0, "climb"= 500, "time"= 44.133 WHERE "rownames"='Cairn Table' Query: UPDATE "hills test" SET "dist"= 4.5, "climb"=1500, "time"= 26.933 WHERE "rownames"='Eildon Two' > sqlDrop(channel, "hills test") > > sqlTables(channel, catalog = "", schema = "", tableName = "", tableType = "%") TABLE_CAT TABLE_SCHEM TABLE_NAME TABLE_TYPE REMARKS 1 TABLE 2 VIEW > > close(channel) > RODBC/tests/hills.xls0000644000176000001440000003700011754561777014164 0ustar ripleyusersÐÏࡱá>þÿ 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You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > ##-*- R -*- > library(RODBC) > library(MASS) > USArrests[1,2] <- NA > hills <- hills[1:15,] > row.names(hills)[12] <- "Dollar ('$')" > set.seed(1) > options(digits.secs = 3) > > channel <- odbcConnect("testpg") > if(!inherits(channel, "RODBC")) q("no") > odbcGetInfo(channel) > sqlTables(channel) [1] TABLE_QUALIFIER TABLE_OWNER TABLE_NAME TABLE_TYPE [5] REMARKS <0 rows> (or 0-length row.names) > sqlDrop(channel, "USArrests", errors = FALSE) > sqlSave(channel, USArrests, rownames = "state", addPK = TRUE) > sqlTables(channel) TABLE_QUALIFIER TABLE_OWNER TABLE_NAME TABLE_TYPE REMARKS 1 ripley public usarrests TABLE > sqlColumns(channel, "USArrests")[, 1:6] TABLE_QUALIFIER TABLE_OWNER TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME 1 ripley public usarrests state 12 varchar 2 ripley public usarrests murder 6 float8 3 ripley public usarrests assault 4 int4 4 ripley public usarrests urbanpop 4 int4 5 ripley public usarrests rape 6 float8 > sqlColumns(channel, "USArrests", special = TRUE) [1] SCOPE COLUMN_NAME DATA_TYPE TYPE_NAME PRECISION [6] LENGTH SCALE PSEUDO_COLUMN <0 rows> (or 0-length row.names) > sqlPrimaryKeys(channel, "USArrests") TABLE_QUALIFIER TABLE_OWNER TABLE_NAME COLUMN_NAME KEY_SEQ PK_NAME 1 ripley public usarrests state 1 usarrests_pkey > sqlFetch(channel, "USArrests", rownames = "state") murder assault urbanpop rape Alabama 13.2 NA 58 21.2 Alaska 10.0 263 48 44.5 Arizona 8.1 294 80 31.0 Arkansas 8.8 190 50 19.5 California 9.0 276 91 40.6 Colorado 7.9 204 78 38.7 Connecticut 3.3 110 77 11.1 Delaware 5.9 238 72 15.8 Florida 15.4 335 80 31.9 Georgia 17.4 211 60 25.8 Hawaii 5.3 46 83 20.2 Idaho 2.6 120 54 14.2 Illinois 10.4 249 83 24.0 Indiana 7.2 113 65 21.0 Iowa 2.2 56 57 11.3 Kansas 6.0 115 66 18.0 Kentucky 9.7 109 52 16.3 Louisiana 15.4 249 66 22.2 Maine 2.1 83 51 7.8 Maryland 11.3 300 67 27.8 Massachusetts 4.4 149 85 16.3 Michigan 12.1 255 74 35.1 Minnesota 2.7 72 66 14.9 Mississippi 16.1 259 44 17.1 Missouri 9.0 178 70 28.2 Montana 6.0 109 53 16.4 Nebraska 4.3 102 62 16.5 Nevada 12.2 252 81 46.0 New Hampshire 2.1 57 56 9.5 New Jersey 7.4 159 89 18.8 New Mexico 11.4 285 70 32.1 New York 11.1 254 86 26.1 North Carolina 13.0 337 45 16.1 North Dakota 0.8 45 44 7.3 Ohio 7.3 120 75 21.4 Oklahoma 6.6 151 68 20.0 Oregon 4.9 159 67 29.3 Pennsylvania 6.3 106 72 14.9 Rhode Island 3.4 174 87 8.3 South Carolina 14.4 279 48 22.5 South Dakota 3.8 86 45 12.8 Tennessee 13.2 188 59 26.9 Texas 12.7 201 80 25.5 Utah 3.2 120 80 22.9 Vermont 2.2 48 32 11.2 Virginia 8.5 156 63 20.7 Washington 4.0 145 73 26.2 West Virginia 5.7 81 39 9.3 Wisconsin 2.6 53 66 10.8 Wyoming 6.8 161 60 15.6 > sqlQuery(channel, "select state, murder from USArrests where rape > 30 order by murder") state murder 1 Colorado 7.9 2 Arizona 8.1 3 California 9.0 4 Alaska 10.0 5 New Mexico 11.4 6 Michigan 12.1 7 Nevada 12.2 8 Florida 15.4 > foo <- cbind(state=row.names(USArrests), USArrests)[1:3, c(1,3)] > foo[1,2] <- 236 > sqlUpdate(channel, foo, "USArrests") > sqlFetch(channel, "USArrests", rownames = "state", max = 5) murder assault urbanpop rape Arkansas 8.8 190 50 19.5 California 9.0 276 91 40.6 Colorado 7.9 204 78 38.7 Connecticut 3.3 110 77 11.1 Delaware 5.9 238 72 15.8 > sqlFetchMore(channel, rownames = "state", max = 8) murder assault urbanpop rape Florida 15.4 335 80 31.9 Georgia 17.4 211 60 25.8 Hawaii 5.3 46 83 20.2 Idaho 2.6 120 54 14.2 Illinois 10.4 249 83 24.0 Indiana 7.2 113 65 21.0 Iowa 2.2 56 57 11.3 Kansas 6.0 115 66 18.0 > sqlDrop(channel, "USArrests") > > Btest <- Atest <- + data.frame(x = c(paste(1:100, collapse="+"), letters[2:4]), rn=1:4) > Btest[,1] <- Atest[c(4,1:3),1] > sqlDrop(channel, "Atest", errors = FALSE) > colspec <- list(character="text", double="double", + integer="integer", logical="varchar(5)") > sqlSave(channel, Atest, typeInfo = colspec) > sqlColumns(channel, "Atest")[, 1:6] TABLE_QUALIFIER TABLE_OWNER TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME 1 ripley public atest rownames -1 text 2 ripley public atest x -1 text 3 ripley public atest rn 4 int4 > sqlFetch(channel, "Atest") x 1 1+2+3+4+5+6+7+8+9+10+11+12+13+14+15+16+17+18+19+20+21+22+23+24+25+26+27+28+29+30+31+32+33+34+35+36+37+38+39+40+41+42+43+44+45+46+47+48+49+50+51+52+53+54+55+56+57+58+59+60+61+62+63+64+65+66+67+68+69+70+71+72+73+74+75+76+77+78+79+80+81+82+83+84+85+86+87+88+89+90+91+92+93+94+95+96+97+98+99+100 2 b 3 c 4 d rn 1 1 2 2 3 3 4 4 > sqlUpdate(channel, Btest, "Atest", index = "rn") > sqlFetch(channel, "Atest") x 1 d 2 1+2+3+4+5+6+7+8+9+10+11+12+13+14+15+16+17+18+19+20+21+22+23+24+25+26+27+28+29+30+31+32+33+34+35+36+37+38+39+40+41+42+43+44+45+46+47+48+49+50+51+52+53+54+55+56+57+58+59+60+61+62+63+64+65+66+67+68+69+70+71+72+73+74+75+76+77+78+79+80+81+82+83+84+85+86+87+88+89+90+91+92+93+94+95+96+97+98+99+100 3 b 4 c rn 1 1 2 2 3 3 4 4 > sqlDrop(channel, "Atest") > varspec <- "text"; names(varspec) <- "x" > sqlSave(channel, Atest, varTypes = varspec) > sqlColumns(channel, "Atest")[, 1:6] TABLE_QUALIFIER TABLE_OWNER TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME 1 ripley public atest rownames 12 varchar 2 ripley public atest x -1 text 3 ripley public atest rn 4 int4 > sqlFetch(channel, "Atest") x 1 1+2+3+4+5+6+7+8+9+10+11+12+13+14+15+16+17+18+19+20+21+22+23+24+25+26+27+28+29+30+31+32+33+34+35+36+37+38+39+40+41+42+43+44+45+46+47+48+49+50+51+52+53+54+55+56+57+58+59+60+61+62+63+64+65+66+67+68+69+70+71+72+73+74+75+76+77+78+79+80+81+82+83+84+85+86+87+88+89+90+91+92+93+94+95+96+97+98+99+100 2 b 3 c 4 d rn 1 1 2 2 3 3 4 4 > sqlDrop(channel, "Atest") > > dates <- as.character(seq(as.Date("2004-01-01"), by="week", length=10)) > times <- paste(1:10, "05", "00", sep=":") > dt <- as.POSIXct(paste(dates, times)) > Dtest <- data.frame(dates, times, dt, logi=c(TRUE, NA, FALSE, FALSE, FALSE)) > varspec <- c("date", "time", "timestamp", "varchar(5)") > names(varspec) <- names(Dtest) > sqlDrop(channel, "Dtest", errors = FALSE) > sqlSave(channel, Dtest, varTypes = varspec) > sqlColumns(channel, "Dtest")[, 1:6] TABLE_QUALIFIER TABLE_OWNER TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME 1 ripley public dtest rownames 12 varchar 2 ripley public dtest dates 91 date 3 ripley public dtest times 92 time 4 ripley public dtest dt 93 timestamp 5 ripley public dtest logi 12 varchar > sqlFetch(channel, "Dtest") dates times dt logi 1 2004-01-01 01:05:00 2004-01-01 01:05:00 TRUE 2 2004-01-08 02:05:00 2004-01-08 02:05:00 NA 3 2004-01-15 03:05:00 2004-01-15 03:05:00 FALSE 4 2004-01-22 04:05:00 2004-01-22 04:05:00 FALSE 5 2004-01-29 05:05:00 2004-01-29 05:05:00 FALSE 6 2004-02-05 06:05:00 2004-02-05 06:05:00 TRUE 7 2004-02-12 07:05:00 2004-02-12 07:05:00 NA 8 2004-02-19 08:05:00 2004-02-19 08:05:00 FALSE 9 2004-02-26 09:05:00 2004-02-26 09:05:00 FALSE 10 2004-03-04 10:05:00 2004-03-04 10:05:00 FALSE > sqlDrop(channel, "Dtest") > ## needs fast = FALSE for fractional seconds. > dt <- dt + round(runif(10), 3) > Dtest <- data.frame(dates, times, dt, logi=c(TRUE, NA, FALSE, FALSE, FALSE)) > varspec <- c("date", "time", "timestamp", "varchar(5)") > names(varspec) <- names(Dtest) > sqlDrop(channel, "Dtest", errors = FALSE) > sqlSave(channel, Dtest, varTypes = varspec, fast = FALSE) > sqlColumns(channel, "Dtest")[, 1:6] TABLE_QUALIFIER TABLE_OWNER TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME 1 ripley public dtest rownames 12 varchar 2 ripley public dtest dates 91 date 3 ripley public dtest times 92 time 4 ripley public dtest dt 93 timestamp 5 ripley public dtest logi 12 varchar > sqlFetch(channel, "Dtest") dates times dt logi 1 2004-01-01 01:05:00 2004-01-01 01:05:00.371 TRUE 2 2004-01-08 02:05:00 2004-01-08 02:05:00.572 NA 3 2004-01-15 03:05:00 2004-01-15 03:05:00.907 FALSE 4 2004-01-22 04:05:00 2004-01-22 04:05:00.200 FALSE 5 2004-01-29 05:05:00 2004-01-29 05:05:00.898 FALSE 6 2004-02-05 06:05:00 2004-02-05 06:05:00.944 TRUE 7 2004-02-12 07:05:00 2004-02-12 07:05:00.661 NA 8 2004-02-19 08:05:00 2004-02-19 08:05:00.628 FALSE 9 2004-02-26 09:05:00 2004-02-26 09:05:00.062 FALSE 10 2004-03-04 10:05:00 2004-03-04 10:05:00.206 FALSE > sqlDrop(channel, "Dtest") > > sqlDrop(channel, "hills test", errors = FALSE) > sqlSave(channel, hills, "hills test", verbose=TRUE) Query: CREATE TABLE "hills test" ("rownames" varchar(255), "dist" float8, "climb" int4, "time" float8) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( ?,?,?,? ) Binding: 'rownames' DataType 12, ColSize 255 Binding: 'dist' DataType 6, ColSize 15 Binding: 'climb' DataType 4, ColSize 10 Binding: 'time' DataType 6, ColSize 15 Parameters: no: 1: rownames Greenmantle/***/no: 2: dist 2.5/***/no: 3: climb 650/***/no: 4: time 16.083/***/ no: 1: rownames Carnethy/***/no: 2: dist 6/***/no: 3: climb 2500/***/no: 4: time 48.35/***/ no: 1: rownames Craig Dunain/***/no: 2: dist 6/***/no: 3: climb 900/***/no: 4: time 33.65/***/ no: 1: rownames Ben Rha/***/no: 2: dist 7.5/***/no: 3: climb 800/***/no: 4: time 45.6/***/ no: 1: rownames Ben Lomond/***/no: 2: dist 8/***/no: 3: climb 3070/***/no: 4: time 62.267/***/ no: 1: rownames Goatfell/***/no: 2: dist 8/***/no: 3: climb 2866/***/no: 4: time 73.217/***/ no: 1: rownames Bens of Jura/***/no: 2: dist 16/***/no: 3: climb 7500/***/no: 4: time 204.617/***/ no: 1: rownames Cairnpapple/***/no: 2: dist 6/***/no: 3: climb 800/***/no: 4: time 36.367/***/ no: 1: rownames Scolty/***/no: 2: dist 5/***/no: 3: climb 800/***/no: 4: time 29.75/***/ no: 1: rownames Traprain/***/no: 2: dist 6/***/no: 3: climb 650/***/no: 4: time 39.75/***/ no: 1: rownames Lairig Ghru/***/no: 2: dist 28/***/no: 3: climb 2100/***/no: 4: time 192.667/***/ no: 1: rownames Dollar ('$')/***/no: 2: dist 5/***/no: 3: climb 2000/***/no: 4: time 43.05/***/ no: 1: rownames Lomonds/***/no: 2: dist 9.5/***/no: 3: climb 2200/***/no: 4: time 65/***/ no: 1: rownames Cairn Table/***/no: 2: dist 6/***/no: 3: climb 500/***/no: 4: time 44.133/***/ no: 1: rownames Eildon Two/***/no: 2: dist 4.5/***/no: 3: climb 1500/***/no: 4: time 26.933/***/ > sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=TRUE) Query: UPDATE "hills test" SET "dist"=?, "climb"=?, "time"=? WHERE "rownames"=? Binding: 'dist' DataType 6, ColSize 15 Binding: 'climb' DataType 4, ColSize 10 Binding: 'time' DataType 6, ColSize 15 Binding: 'rownames' DataType 12, ColSize 255 Parameters: no: 1: dist 28/***/no: 2: climb 2100/***/no: 3: time 192.667/***/no: 4: rownames Lairig Ghru/***/ no: 1: dist 5/***/no: 2: climb 2000/***/no: 3: time 43.05/***/no: 4: rownames Dollar ('$')/***/ no: 1: dist 9.5/***/no: 2: climb 2200/***/no: 3: time 65/***/no: 4: rownames Lomonds/***/ no: 1: dist 6/***/no: 2: climb 500/***/no: 3: time 44.133/***/no: 4: rownames Cairn Table/***/ no: 1: dist 4.5/***/no: 2: climb 1500/***/no: 3: time 26.933/***/no: 4: rownames Eildon Two/***/ > sqlFetch(channel, "hills test") dist climb time Greenmantle 2.5 650 16.083 Carnethy 6.0 2500 48.350 Craig Dunain 6.0 900 33.650 Ben Rha 7.5 800 45.600 Ben Lomond 8.0 3070 62.267 Goatfell 8.0 2866 73.217 Bens of Jura 16.0 7500 204.617 Cairnpapple 6.0 800 36.367 Scolty 5.0 800 29.750 Traprain 6.0 650 39.750 Lairig Ghru 28.0 2100 192.667 Dollar ('$') 5.0 2000 43.050 Lomonds 9.5 2200 65.000 Cairn Table 6.0 500 44.133 Eildon Two 4.5 1500 26.933 > sqlDrop(channel, "hills test") > sqlSave(channel, hills, "hills test", verbose=TRUE, fast=FALSE) Query: CREATE TABLE "hills test" ("rownames" varchar(255), "dist" float8, "climb" int4, "time" float8) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Greenmantle', 2.5, 650, 16.083 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Carnethy', 6.0, 2500, 48.350 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Craig Dunain', 6.0, 900, 33.650 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Ben Rha', 7.5, 800, 45.600 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Ben Lomond', 8.0, 3070, 62.267 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Goatfell', 8.0, 2866, 73.217 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Bens of Jura', 16.0, 7500, 204.617 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Cairnpapple', 6.0, 800, 36.367 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Scolty', 5.0, 800, 29.750 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Traprain', 6.0, 650, 39.750 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Lairig Ghru', 28.0, 2100, 192.667 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Dollar (''$'')', 5.0, 2000, 43.050 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Lomonds', 9.5, 2200, 65.000 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Cairn Table', 6.0, 500, 44.133 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Eildon Two', 4.5, 1500, 26.933 ) > sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=FALSE) Query: UPDATE "hills test" SET "dist"=28.0, "climb"=2100, "time"=192.667 WHERE "rownames"='Lairig Ghru' Query: UPDATE "hills test" SET "dist"= 5.0, "climb"=2000, "time"= 43.050 WHERE "rownames"='Dollar (''$'')' Query: UPDATE "hills test" SET "dist"= 9.5, "climb"=2200, "time"= 65.000 WHERE "rownames"='Lomonds' Query: UPDATE "hills test" SET "dist"= 6.0, "climb"= 500, "time"= 44.133 WHERE "rownames"='Cairn Table' Query: UPDATE "hills test" SET "dist"= 4.5, "climb"=1500, "time"= 26.933 WHERE "rownames"='Eildon Two' > sqlDrop(channel, "hills test") > > # sqlQuery(channel, "create schema test2") > sqlTables(channel, catalog="", schema="", tableName="", tableType="%") TABLE_QUALIFIER TABLE_OWNER TABLE_NAME TABLE_TYPE REMARKS 1 TABLE 2 VIEW > sqlTables(channel, catalog="%", schema="", tableName="") TABLE_QUALIFIER TABLE_OWNER TABLE_NAME TABLE_TYPE REMARKS 1 ripley > sqlTables(channel, catalog="", schema="%", tableName="") TABLE_QUALIFIER TABLE_OWNER TABLE_NAME TABLE_TYPE REMARKS 1 pg_toast_temp_1 2 public 3 test2 > > close(channel) RODBC/tests/sqlite3.RR0000644000176000001440000000504211754561777014153 0ustar ripleyusers##-*- R -*- library(RODBC) library(MASS) USArrests[1,2] <- NA hills <- hills[1:15,] row.names(hills)[12] <- "Dollar ('$')" channel <- odbcConnect("sqlite3") if(!inherits(channel, "RODBC")) q("no") odbcGetInfo(channel) sqlTables(channel) sqlDrop(channel, "USArrests", errors = FALSE) sqlSave(channel, USArrests, addPK = TRUE) sqlTables(channel) sqlColumns(channel, "USArrests") sqlColumns(channel, "USArrests", special=TRUE) sqlPrimaryKeys(channel, "USArrests") sqlFetch(channel, "USArrests") sqlQuery(channel, "select rownames, Murder from USArrests where Rape > 30 order by Murder") foo <- USArrests[1:3, 2, drop = FALSE] foo[1,1] <- 236 sqlUpdate(channel, foo, "USArrests") sqlFetch(channel, "USArrests", max = 5) sqlFetchMore(channel, max = 8) sqlDrop(channel, "USArrests") Btest <- Atest <- data.frame(x = c(paste(1:100, collapse="+"), letters[2:4]), rn=1:4) Btest[,1] <- Atest[c(4,1:3),1] sqlDrop(channel, "Atest", errors = FALSE) colspec <- list(character="varchar(1000)", double="double", integer="integer", logical="varchar(5)") sqlSave(channel, Atest, typeInfo = colspec) sqlColumns(channel, "Atest")[, 1:6] sqlFetch(channel, "Atest") sqlUpdate(channel, Btest, "Atest", index = "rn") sqlFetch(channel, "Atest") sqlDrop(channel, "Atest") varspec <- "varchar(1000)"; names(varspec) <- "x" sqlSave(channel, Atest, varTypes = varspec) sqlColumns(channel, "Atest")[, 1:6] sqlFetch(channel, "Atest") sqlDrop(channel, "Atest") dates <- as.character(seq(as.Date("2004-01-01"), by="week", length=10)) times <- paste(1:10, "05", "00", sep=":") dt <- as.POSIXct(paste(dates, times)) Dtest <- data.frame(dates, times, dt, logi=c(TRUE, NA, FALSE, FALSE, FALSE)) varspec <- c("date", "time", "timestamp", "varchar(5)") names(varspec) <- names(Dtest) sqlDrop(channel, "Dtest", errors = FALSE) sqlSave(channel, Dtest, varTypes = varspec) sqlColumns(channel, "Dtest") sqlFetch(channel, "Dtest") sqlDrop(channel, "Dtest", errors = FALSE) sqlSave(channel, Dtest, varTypes = varspec, fast = FALSE) sqlColumns(channel, "Dtest") sqlFetch(channel, "Dtest") sqlDrop(channel, "Dtest") sqlDrop(channel, "hills test", errors = FALSE) sqlSave(channel, hills, "hills test", verbose=TRUE) sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=TRUE) sqlFetch(channel, "hills test") sqlDrop(channel, "hills test") sqlSave(channel, hills, "hills test", verbose=TRUE, fast=FALSE) sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=FALSE) sqlDrop(channel, "hills test") sqlTables(channel, catalog = "", schema = "", tableName = "", tableType = "%") close(channel) RODBC/tests/DB2.RR0000644000176000001440000000641211754561777013140 0ustar ripleyusers##-*- R -*- library(RODBC) library(MASS) USArrests[1,2] <- NA hills <- hills[1:15,] row.names(hills)[12] <- "Dollar ('$')" set.seed(1) options(digits.secs = 3) channel <- odbcConnect("DB2") if(!inherits(channel, "RODBC")) q("no") odbcGetInfo(channel) sqlTables(channel, schema="RIPLEY") sqlDrop(channel, "USArrests", errors = FALSE) sqlSave(channel, USArrests, rownames = "State", addPK = TRUE) sqlTables(channel, schema="RIPLEY") sqlColumns(channel, "USArrests") sqlColumns(channel, "USArrests", special = TRUE) sqlPrimaryKeys(channel, "USArrests") sqlFetch(channel, "USArrests", rownames = "State") sqlQuery(channel, 'select "State", "Murder" from "USArrests" where "Rape" > 30 order by "Murder"') foo <- cbind(State=row.names(USArrests), USArrests)[1:3, c(1,3)] foo[1,2] <- 236 sqlUpdate(channel, foo, "USArrests") sqlFetch(channel, "USArrests", rownames = "State", max = 5) sqlFetchMore(channel, rownames = "State", max = 8) sqlDrop(channel, "USArrests") Btest <- Atest <- data.frame(x = c(paste(1:100, collapse="+"), letters[2:4]), rn=1:4) Btest[,1] <- Atest[c(4,1:3),1] sqlDrop(channel, "Atest", errors = FALSE) ## max for varchar is 32672, 254 for char colspec <- list(character="varchar(1000)", double="double", integer="integer", logical="varchar(5)") sqlSave(channel, Atest, typeInfo = colspec) sqlColumns(channel, "Atest") sqlFetch(channel, "Atest") sqlUpdate(channel, Btest, "Atest", index = "rn") sqlFetch(channel, "Atest") sqlDrop(channel, "Atest") varspec <- "varchar(1000)"; names(varspec) <- "x" sqlSave(channel, Atest, varTypes = varspec) sqlColumns(channel, "Atest") sqlFetch(channel, "Atest") sqlDrop(channel, "Atest") dates <- as.character(seq(as.Date("2004-01-01"), by="week", length=10)) times <- paste(1:10, "05", "00", sep=":") dt <- as.POSIXct(paste(dates, times)) dt <- dt + round(runif(10), 3) Dtest <- data.frame(dates, times, dt, logi=c(TRUE, NA, FALSE, FALSE, FALSE)) varspec <- c("date", "time", "timestamp", "varchar(5)") names(varspec) <- names(Dtest) sqlDrop(channel, "Dtest", errors = FALSE) sqlSave(channel, Dtest, varTypes = varspec) sqlColumns(channel, "Dtest") sqlFetch(channel, "Dtest") sqlDrop(channel, "Dtest") Dtest <- data.frame(dates, times, dt, logi=c(TRUE, NA, FALSE, FALSE, FALSE)) varspec <- c("date", "time", "timestamp", "varchar(5)") names(varspec) <- names(Dtest) sqlDrop(channel, "Dtest", errors = FALSE) sqlSave(channel, Dtest, varTypes = varspec, fast = FALSE) sqlColumns(channel, "Dtest") sqlFetch(channel, "Dtest") sqlDrop(channel, "Dtest") sqlDrop(channel, "hills test", errors = FALSE) sqlSave(channel, hills, "hills test", verbose=TRUE) sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=TRUE) sqlFetch(channel, "hills test") sqlDrop(channel, "hills test") sqlSave(channel, hills, "hills test", verbose=TRUE, fast=FALSE) sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=FALSE) sqlDrop(channel, "hills test") sqlTables(channel, catalog="", schema="", tableName="", tableType="%") ## case matters here # sqlQuery(channel, "create schema TEST2") sqlTables(channel, catalog="", schema="%", tableName="") sqlSave(channel, women, "TEST2.WOMEN") sqlTables(channel, catalog="", schema="%", tableName="") sqlTables(channel, tableType="TABLE") sqlTables(channel, schema="TEST2") sqlDrop(channel, "TEST2.WOMEN") close(channel) RODBC/tests/access.Rout.save0000644000176000001440000003663311754561777015405 0ustar ripleyusers R version 2.9.1 Patched (2009-07-09 r48925) Copyright (C) 2009 The R Foundation for Statistical Computing ISBN 3-900051-07-0 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > ##-*- R -*- > library(RODBC) > library(MASS) > USArrests[1,2] <- NA > hills <- hills[1:15,] > row.names(hills)[12] <- "Dollar ('$')" > > channel <- odbcConnect("testacc") > if(!inherits(channel, "RODBC")) q("no") > sqlTables(channel) TABLE_CAT TABLE_SCHEM TABLE_NAME TABLE_TYPE REMARKS 1 D:\\bdr\\testacc MSysACEs SYSTEM TABLE 2 D:\\bdr\\testacc MSysObjects SYSTEM TABLE 3 D:\\bdr\\testacc MSysQueries SYSTEM TABLE 4 D:\\bdr\\testacc MSysRelationships SYSTEM TABLE > sqlDrop(channel, "USArrests", errors = FALSE) > sqlSave(channel, USArrests) > sqlTables(channel) TABLE_CAT TABLE_SCHEM TABLE_NAME TABLE_TYPE REMARKS 1 D:\\bdr\\testacc MSysACEs SYSTEM TABLE 2 D:\\bdr\\testacc MSysObjects SYSTEM TABLE 3 D:\\bdr\\testacc MSysQueries SYSTEM TABLE 4 D:\\bdr\\testacc MSysRelationships SYSTEM TABLE 5 D:\\bdr\\testacc USArrests TABLE > sqlColumns(channel, "USArrests") TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME 1 D:\\bdr\\testacc USArrests rownames 12 VARCHAR 2 D:\\bdr\\testacc USArrests Murder 8 DOUBLE 3 D:\\bdr\\testacc USArrests Assault 4 INTEGER 4 D:\\bdr\\testacc USArrests UrbanPop 4 INTEGER 5 D:\\bdr\\testacc USArrests Rape 8 DOUBLE COLUMN_SIZE BUFFER_LENGTH DECIMAL_DIGITS NUM_PREC_RADIX NULLABLE REMARKS 1 255 510 NA NA 1 2 53 8 NA 2 1 3 10 4 0 10 1 4 10 4 0 10 1 5 53 8 NA 2 1 COLUMN_DEF SQL_DATA_TYPE SQL_DATETIME_SUB CHAR_OCTET_LENGTH ORDINAL_POSITION 1 12 NA 510 1 2 8 NA NA 2 3 4 NA NA 3 4 4 NA NA 4 5 8 NA NA 5 IS_NULLABLE ORDINAL 1 YES 1 2 YES 2 3 YES 3 4 YES 4 5 YES 5 > sqlPrimaryKeys(channel, "USArrests") # reports none > sqlFetch(channel, "USArrests") Murder Assault UrbanPop Rape Alabama 13.2 NA 58 21.2 Alaska 10.0 263 48 44.5 Arizona 8.1 294 80 31.0 Arkansas 8.8 190 50 19.5 California 9.0 276 91 40.6 Colorado 7.9 204 78 38.7 Connecticut 3.3 110 77 11.1 Delaware 5.9 238 72 15.8 Florida 15.4 335 80 31.9 Georgia 17.4 211 60 25.8 Hawaii 5.3 46 83 20.2 Idaho 2.6 120 54 14.2 Illinois 10.4 249 83 24.0 Indiana 7.2 113 65 21.0 Iowa 2.2 56 57 11.3 Kansas 6.0 115 66 18.0 Kentucky 9.7 109 52 16.3 Louisiana 15.4 249 66 22.2 Maine 2.1 83 51 7.8 Maryland 11.3 300 67 27.8 Massachusetts 4.4 149 85 16.3 Michigan 12.1 255 74 35.1 Minnesota 2.7 72 66 14.9 Mississippi 16.1 259 44 17.1 Missouri 9.0 178 70 28.2 Montana 6.0 109 53 16.4 Nebraska 4.3 102 62 16.5 Nevada 12.2 252 81 46.0 New Hampshire 2.1 57 56 9.5 New Jersey 7.4 159 89 18.8 New Mexico 11.4 285 70 32.1 New York 11.1 254 86 26.1 North Carolina 13.0 337 45 16.1 North Dakota 0.8 45 44 7.3 Ohio 7.3 120 75 21.4 Oklahoma 6.6 151 68 20.0 Oregon 4.9 159 67 29.3 Pennsylvania 6.3 106 72 14.9 Rhode Island 3.4 174 87 8.3 South Carolina 14.4 279 48 22.5 South Dakota 3.8 86 45 12.8 Tennessee 13.2 188 59 26.9 Texas 12.7 201 80 25.5 Utah 3.2 120 80 22.9 Vermont 2.2 48 32 11.2 Virginia 8.5 156 63 20.7 Washington 4.0 145 73 26.2 West Virginia 5.7 81 39 9.3 Wisconsin 2.6 53 66 10.8 Wyoming 6.8 161 60 15.6 > query <- paste("select rownames, murder from USArrests", + "where Rape > 30", "order by Murder") > sqlQuery(channel, query) rownames murder 1 Colorado 7.9 2 Arizona 8.1 3 California 9.0 4 Alaska 10.0 5 New Mexico 11.4 6 Michigan 12.1 7 Nevada 12.2 8 Florida 15.4 > sqlCopy(channel, query, "HighRape", rownames = FALSE) > sqlFetch(channel, "HighRape", max = 5) murder Colorado 7.9 Arizona 8.1 California 9.0 Alaska 10.0 New Mexico 11.4 > sqlTables(channel) TABLE_CAT TABLE_SCHEM TABLE_NAME TABLE_TYPE REMARKS 1 D:\\bdr\\testacc MSysACEs SYSTEM TABLE 2 D:\\bdr\\testacc MSysObjects SYSTEM TABLE 3 D:\\bdr\\testacc MSysQueries SYSTEM TABLE 4 D:\\bdr\\testacc MSysRelationships SYSTEM TABLE 5 D:\\bdr\\testacc HighRape TABLE 6 D:\\bdr\\testacc USArrests TABLE > sqlDrop(channel, "HighRape") > foo <- USArrests[1:3, 2, drop = FALSE] > foo[1,1] <- 236 > sqlUpdate(channel, foo, "USArrests") > sqlFetch(channel, "USArrests", max = 5) Murder Assault UrbanPop Rape Alabama 13.2 236 58 21.2 Alaska 10.0 263 48 44.5 Arizona 8.1 294 80 31.0 Arkansas 8.8 190 50 19.5 California 9.0 276 91 40.6 > sqlFetchMore(channel, max = 8) Murder Assault UrbanPop Rape Colorado 7.9 204 78 38.7 Connecticut 3.3 110 77 11.1 Delaware 5.9 238 72 15.8 Florida 15.4 335 80 31.9 Georgia 17.4 211 60 25.8 Hawaii 5.3 46 83 20.2 Idaho 2.6 120 54 14.2 Illinois 10.4 249 83 24.0 > sqlDrop(channel, "USArrests") > > dates <- as.character(seq(as.Date("2004-01-01"), by="week", length=10)) > Dtest <- data.frame(dates) > sqlDrop(channel, "Dtest", errors = FALSE) > varspec <- "DATETIME"; names(varspec) <- names(Dtest) > ## fast = TRUE crashes > sqlSave(channel, Dtest, varTypes = varspec, verbose=TRUE, fast=FALSE) Query: CREATE TABLE "Dtest" ("rownames" VARCHAR(255), "dates" DATETIME) Query: INSERT INTO "Dtest" ( "rownames", "dates" ) VALUES ( '1', #2004-01-01# ) Query: INSERT INTO "Dtest" ( "rownames", "dates" ) VALUES ( '2', #2004-01-08# ) Query: INSERT INTO "Dtest" ( "rownames", "dates" ) VALUES ( '3', #2004-01-15# ) Query: INSERT INTO "Dtest" ( "rownames", "dates" ) VALUES ( '4', #2004-01-22# ) Query: INSERT INTO "Dtest" ( "rownames", "dates" ) VALUES ( '5', #2004-01-29# ) Query: INSERT INTO "Dtest" ( "rownames", "dates" ) VALUES ( '6', #2004-02-05# ) Query: INSERT INTO "Dtest" ( "rownames", "dates" ) VALUES ( '7', #2004-02-12# ) Query: INSERT INTO "Dtest" ( "rownames", "dates" ) VALUES ( '8', #2004-02-19# ) Query: INSERT INTO "Dtest" ( "rownames", "dates" ) VALUES ( '9', #2004-02-26# ) Query: INSERT INTO "Dtest" ( "rownames", "dates" ) VALUES ( '10', #2004-03-04# ) > sqlColumns(channel, "Dtest") TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME 1 D:\\bdr\\testacc Dtest rownames 12 VARCHAR 2 D:\\bdr\\testacc Dtest dates 93 DATETIME COLUMN_SIZE BUFFER_LENGTH DECIMAL_DIGITS NUM_PREC_RADIX NULLABLE REMARKS 1 255 510 NA NA 1 2 19 16 0 NA 1 COLUMN_DEF SQL_DATA_TYPE SQL_DATETIME_SUB CHAR_OCTET_LENGTH ORDINAL_POSITION 1 12 NA 510 1 2 9 3 NA 2 IS_NULLABLE ORDINAL 1 YES 1 2 YES 2 > sqlFetch(channel, "Dtest") dates 1 2004-01-01 2 2004-01-08 3 2004-01-15 4 2004-01-22 5 2004-01-29 6 2004-02-05 7 2004-02-12 8 2004-02-19 9 2004-02-26 10 2004-03-04 > sqlDrop(channel, "Dtest") > > sqlDrop(channel, "hills test", errors = FALSE) > sqlSave(channel, hills, "hills test", verbose=TRUE) Query: CREATE TABLE "hills test" ("rownames" VARCHAR(255), "dist" DOUBLE, "climb" INTEGER, "time" DOUBLE) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( ?,?,?,? ) Binding: 'rownames' DataType 12, ColSize 255 Binding: 'dist' DataType 8, ColSize 53 Binding: 'climb' DataType 4, ColSize 10 Binding: 'time' DataType 8, ColSize 53 Parameters: no: 1: rownames Greenmantle/***/no: 2: dist 2.5/***/no: 3: climb 650/***/no: 4: time 16.083/***/ no: 1: rownames Carnethy/***/no: 2: dist 6/***/no: 3: climb 2500/***/no: 4: time 48.35/***/ no: 1: rownames Craig Dunain/***/no: 2: dist 6/***/no: 3: climb 900/***/no: 4: time 33.65/***/ no: 1: rownames Ben Rha/***/no: 2: dist 7.5/***/no: 3: climb 800/***/no: 4: time 45.6/***/ no: 1: rownames Ben Lomond/***/no: 2: dist 8/***/no: 3: climb 3070/***/no: 4: time 62.267/***/ no: 1: rownames Goatfell/***/no: 2: dist 8/***/no: 3: climb 2866/***/no: 4: time 73.217/***/ no: 1: rownames Bens of Jura/***/no: 2: dist 16/***/no: 3: climb 7500/***/no: 4: time 204.617/***/ no: 1: rownames Cairnpapple/***/no: 2: dist 6/***/no: 3: climb 800/***/no: 4: time 36.367/***/ no: 1: rownames Scolty/***/no: 2: dist 5/***/no: 3: climb 800/***/no: 4: time 29.75/***/ no: 1: rownames Traprain/***/no: 2: dist 6/***/no: 3: climb 650/***/no: 4: time 39.75/***/ no: 1: rownames Lairig Ghru/***/no: 2: dist 28/***/no: 3: climb 2100/***/no: 4: time 192.667/***/ no: 1: rownames Dollar ('$')/***/no: 2: dist 5/***/no: 3: climb 2000/***/no: 4: time 43.05/***/ no: 1: rownames Lomonds/***/no: 2: dist 9.5/***/no: 3: climb 2200/***/no: 4: time 65/***/ no: 1: rownames Cairn Table/***/no: 2: dist 6/***/no: 3: climb 500/***/no: 4: time 44.133/***/ no: 1: rownames Eildon Two/***/no: 2: dist 4.5/***/no: 3: climb 1500/***/no: 4: time 26.933/***/ > sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=TRUE) Query: UPDATE "hills test" SET "dist"=?, "climb"=?, "time"=? WHERE "rownames"=? Binding: 'dist' DataType 8, ColSize 53 Binding: 'climb' DataType 4, ColSize 10 Binding: 'time' DataType 8, ColSize 53 Binding: 'rownames' DataType 12, ColSize 255 Parameters: no: 1: dist 28/***/no: 2: climb 2100/***/no: 3: time 192.667/***/no: 4: rownames Lairig Ghru/***/ no: 1: dist 5/***/no: 2: climb 2000/***/no: 3: time 43.05/***/no: 4: rownames Dollar ('$')/***/ no: 1: dist 9.5/***/no: 2: climb 2200/***/no: 3: time 65/***/no: 4: rownames Lomonds/***/ no: 1: dist 6/***/no: 2: climb 500/***/no: 3: time 44.133/***/no: 4: rownames Cairn Table/***/ no: 1: dist 4.5/***/no: 2: climb 1500/***/no: 3: time 26.933/***/no: 4: rownames Eildon Two/***/ > sqlFetch(channel, "hills test") dist climb time Greenmantle 2.5 650 16.083 Carnethy 6.0 2500 48.350 Craig Dunain 6.0 900 33.650 Ben Rha 7.5 800 45.600 Ben Lomond 8.0 3070 62.267 Goatfell 8.0 2866 73.217 Bens of Jura 16.0 7500 204.617 Cairnpapple 6.0 800 36.367 Scolty 5.0 800 29.750 Traprain 6.0 650 39.750 Lairig Ghru 28.0 2100 192.667 Dollar ('$') 5.0 2000 43.050 Lomonds 9.5 2200 65.000 Cairn Table 6.0 500 44.133 Eildon Two 4.5 1500 26.933 > sqlDrop(channel, "hills test") > sqlSave(channel, hills, "hills test", verbose=TRUE, fast=FALSE) Query: CREATE TABLE "hills test" ("rownames" VARCHAR(255), "dist" DOUBLE, "climb" INTEGER, "time" DOUBLE) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Greenmantle', 2.5, 650, 16.083 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Carnethy', 6.0, 2500, 48.350 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Craig Dunain', 6.0, 900, 33.650 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Ben Rha', 7.5, 800, 45.600 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Ben Lomond', 8.0, 3070, 62.267 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Goatfell', 8.0, 2866, 73.217 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Bens of Jura', 16.0, 7500, 204.617 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Cairnpapple', 6.0, 800, 36.367 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Scolty', 5.0, 800, 29.750 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Traprain', 6.0, 650, 39.750 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Lairig Ghru', 28.0, 2100, 192.667 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Dollar (''$'')', 5.0, 2000, 43.050 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Lomonds', 9.5, 2200, 65.000 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Cairn Table', 6.0, 500, 44.133 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Eildon Two', 4.5, 1500, 26.933 ) > sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=FALSE) Query: UPDATE "hills test" SET "dist"=28.0, "climb"=2100, "time"=192.667 WHERE "rownames"='Lairig Ghru' Query: UPDATE "hills test" SET "dist"= 5.0, "climb"=2000, "time"= 43.050 WHERE "rownames"='Dollar (''$'')' Query: UPDATE "hills test" SET "dist"= 9.5, "climb"=2200, "time"= 65.000 WHERE "rownames"='Lomonds' Query: UPDATE "hills test" SET "dist"= 6.0, "climb"= 500, "time"= 44.133 WHERE "rownames"='Cairn Table' Query: UPDATE "hills test" SET "dist"= 4.5, "climb"=1500, "time"= 26.933 WHERE "rownames"='Eildon Two' > sqlDrop(channel, "hills test") > > close(channel) RODBC/tests/postgresql.RR0000644000176000001440000000612111754561777014771 0ustar ripleyusers##-*- R -*- library(RODBC) library(MASS) USArrests[1,2] <- NA hills <- hills[1:15,] row.names(hills)[12] <- "Dollar ('$')" set.seed(1) options(digits.secs = 3) channel <- odbcConnect("testpg") if(!inherits(channel, "RODBC")) q("no") odbcGetInfo(channel) sqlTables(channel) sqlDrop(channel, "USArrests", errors = FALSE) sqlSave(channel, USArrests, rownames = "state", addPK = TRUE) sqlTables(channel) sqlColumns(channel, "USArrests")[, 1:6] sqlColumns(channel, "USArrests", special = TRUE) sqlPrimaryKeys(channel, "USArrests") sqlFetch(channel, "USArrests", rownames = "state") sqlQuery(channel, "select state, murder from USArrests where rape > 30 order by murder") foo <- cbind(state=row.names(USArrests), USArrests)[1:3, c(1,3)] foo[1,2] <- 236 sqlUpdate(channel, foo, "USArrests") sqlFetch(channel, "USArrests", rownames = "state", max = 5) sqlFetchMore(channel, rownames = "state", max = 8) sqlDrop(channel, "USArrests") Btest <- Atest <- data.frame(x = c(paste(1:100, collapse="+"), letters[2:4]), rn=1:4) Btest[,1] <- Atest[c(4,1:3),1] sqlDrop(channel, "Atest", errors = FALSE) colspec <- list(character="text", double="double", integer="integer", logical="varchar(5)") sqlSave(channel, Atest, typeInfo = colspec) sqlColumns(channel, "Atest")[, 1:6] sqlFetch(channel, "Atest") sqlUpdate(channel, Btest, "Atest", index = "rn") sqlFetch(channel, "Atest") sqlDrop(channel, "Atest") varspec <- "text"; names(varspec) <- "x" sqlSave(channel, Atest, varTypes = varspec) sqlColumns(channel, "Atest")[, 1:6] sqlFetch(channel, "Atest") sqlDrop(channel, "Atest") dates <- as.character(seq(as.Date("2004-01-01"), by="week", length=10)) times <- paste(1:10, "05", "00", sep=":") dt <- as.POSIXct(paste(dates, times)) Dtest <- data.frame(dates, times, dt, logi=c(TRUE, NA, FALSE, FALSE, FALSE)) varspec <- c("date", "time", "timestamp", "varchar(5)") names(varspec) <- names(Dtest) sqlDrop(channel, "Dtest", errors = FALSE) sqlSave(channel, Dtest, varTypes = varspec) sqlColumns(channel, "Dtest")[, 1:6] sqlFetch(channel, "Dtest") sqlDrop(channel, "Dtest") ## needs fast = FALSE for fractional seconds. dt <- dt + round(runif(10), 3) Dtest <- data.frame(dates, times, dt, logi=c(TRUE, NA, FALSE, FALSE, FALSE)) varspec <- c("date", "time", "timestamp", "varchar(5)") names(varspec) <- names(Dtest) sqlDrop(channel, "Dtest", errors = FALSE) sqlSave(channel, Dtest, varTypes = varspec, fast = FALSE) sqlColumns(channel, "Dtest")[, 1:6] sqlFetch(channel, "Dtest") sqlDrop(channel, "Dtest") sqlDrop(channel, "hills test", errors = FALSE) sqlSave(channel, hills, "hills test", verbose=TRUE) sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=TRUE) sqlFetch(channel, "hills test") sqlDrop(channel, "hills test") sqlSave(channel, hills, "hills test", verbose=TRUE, fast=FALSE) sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=FALSE) sqlDrop(channel, "hills test") # sqlQuery(channel, "create schema test2") sqlTables(channel, catalog="", schema="", tableName="", tableType="%") sqlTables(channel, catalog="%", schema="", tableName="") sqlTables(channel, catalog="", schema="%", tableName="") close(channel) RODBC/tests/mimer.RR0000644000176000001440000000573511754561777013711 0ustar ripleyusers##-*- R -*- library(RODBC) library(MASS) USArrests[1,2] <- NA hills <- hills[1:15,] row.names(hills)[12] <- "Dollar ('$')" set.seed(1) channel <- odbcConnect("mimdb", uid="DEVUSER", pwd=Sys.getenv("DB_PWD")) if(!inherits(channel, "RODBC")) q("no") odbcGetInfo(channel) sqlTables(channel, schema="DEVUSER") sqlDrop(channel, "USArrests", errors = FALSE) sqlSave(channel, USArrests, rownames = "State", addPK = TRUE) sqlTables(channel, schema="DEVUSER") sqlColumns(channel, "USArrests") sqlColumns(channel, "USArrests", special = TRUE) sqlPrimaryKeys(channel, "USArrests") sqlFetch(channel, "USArrests", rownames = "State") sqlQuery(channel, "select State, Murder from USArrests where Rape > 30 order by Murder") foo <- cbind(State=row.names(USArrests), USArrests)[1:3, c(1,3)] foo[1,2] <- 236 sqlUpdate(channel, foo, "USArrests") sqlFetch(channel, "USArrests", rownames = "State", max = 5) sqlFetchMore(channel, rownames = "State", max = 8) sqlDrop(channel, "USArrests") Btest <- Atest <- data.frame(x = c(paste(1:100, collapse="+"), letters[2:4]), rn=1:4) Btest[,1] <- Atest[c(4,1:3),1] sqlDrop(channel, "Atest", errors = FALSE) ## max is 15000 for varchar and char colspec <- list(character="varchar(1000)", double="double", integer="integer", logical="varchar(5)") sqlSave(channel, Atest, typeInfo = colspec) sqlColumns(channel, "Atest") sqlFetch(channel, "Atest") sqlUpdate(channel, Btest, "Atest", index = "rn") sqlFetch(channel, "Atest") sqlDrop(channel, "Atest") varspec <- "character(500)"; names(varspec) <- "x" sqlSave(channel, Atest, varTypes = varspec) sqlColumns(channel, "Atest") sqlFetch(channel, "Atest") sqlDrop(channel, "Atest") dates <- as.character(seq(as.Date("2004-01-01"), by="week", length=10)) times <- paste(1:10, "05", "00", sep=":") dt <- as.POSIXct(paste(dates, times)) Dtest <- data.frame(dates, dt, logi=c(TRUE, NA, FALSE, FALSE, FALSE)) varspec <- c("date", "timestamp", "varchar(5)") names(varspec) <- names(Dtest) sqlDrop(channel, "Dtest", errors = FALSE) sqlSave(channel, Dtest, varTypes = varspec) sqlColumns(channel, "Dtest") sqlFetch(channel, "Dtest") sqlDrop(channel, "Dtest", errors = FALSE) sqlSave(channel, Dtest, varTypes = varspec, fast = FALSE) sqlColumns(channel, "Dtest") sqlFetch(channel, "Dtest") sqlDrop(channel, "Dtest") sqlDrop(channel, "hills test", errors = FALSE) sqlSave(channel, hills, "hills test", verbose=TRUE) sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=TRUE) sqlFetch(channel, "hills test") sqlDrop(channel, "hills test") sqlSave(channel, hills, "hills test", verbose=TRUE, fast=FALSE) sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=FALSE) sqlDrop(channel, "hills test") sqlTables(channel, catalog="", schema="", tableName="", tableType="%") # sqlQuery(channel, "create schema test2") sqlQuery(channel, "SELECT * FROM information_schema.schemata") sqlSave(channel, women, "test2.women") sqlTables(channel, tableType="TABLE") sqlTables(channel, schema="test2") sqlDrop(channel, "test2.women") close(channel) RODBC/tests/Oracle.Rout.save0000644000176000001440000006351211754561777015345 0ustar ripleyusers R version 2.9.1 Patched (2009-07-09 r48925) Copyright (C) 2009 The R Foundation for Statistical Computing ISBN 3-900051-07-0 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > ##-*- R -*- > library(RODBC) > library(MASS) > USArrests[1,2] <- NA > hills <- hills[1:15,] > row.names(hills)[12] <- "Dollar ('$')" > set.seed(1) > > channel <- odbcConnect("Oracle", pwd = Sys.getenv("DB_PWD")) > if(!inherits(channel, "RODBC")) q("no") > sqlTables(channel, schema = "RIPLEY") [1] TABLE_CAT TABLE_SCHEM TABLE_NAME TABLE_TYPE REMARKS <0 rows> (or 0-length row.names) > sqlDrop(channel, "USArrests", errors = FALSE) > sqlSave(channel, USArrests, rownames = "State", addPK = TRUE) > sqlTables(channel, schema = "RIPLEY") TABLE_CAT TABLE_SCHEM TABLE_NAME TABLE_TYPE REMARKS 1 RIPLEY USArrests TABLE > sqlColumns(channel, "USArrests") TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME 1 RIPLEY USArrests State 12 VARCHAR2 2 RIPLEY USArrests Murder 6 BINARY_DOUBLE 3 RIPLEY USArrests Assault 3 DECIMAL 4 RIPLEY USArrests UrbanPop 3 DECIMAL 5 RIPLEY USArrests Rape 6 BINARY_DOUBLE COLUMN_SIZE BUFFER_LENGTH DECIMAL_DIGITS NUM_PREC_RADIX NULLABLE REMARKS 1 255 255 NA NA 0 2 38 8 NA NA 1 3 38 40 0 10 1 4 38 40 0 10 1 5 38 8 NA NA 1 COLUMN_DEF SQL_DATA_TYPE SQL_DATETIME_SUB CHAR_OCTET_LENGTH ORDINAL_POSITION 1 12 0 255 1 2 6 0 0 2 3 3 0 0 3 4 3 0 0 4 5 6 0 0 5 IS_NULLABLE 1 NO 2 YES 3 YES 4 YES 5 YES > sqlColumns(channel, "USArrests", special = TRUE) SCOPE COLUMN_NAME DATA_TYPE TYPE_NAME COLUMN_SIZE BUFFER_LENGTH 1 2 ROWID 1 ROWID NA 18 DECIMAL_DIGITS PSEUDO_COLUMN 1 NA 2 > sqlPrimaryKeys(channel, "USArrests") [1] TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME KEY_SEQ PK_NAME <0 rows> (or 0-length row.names) > sqlFetch(channel, "USArrests", rownames = "State") Murder Assault UrbanPop Rape Alabama 13.2 NA 58 21.2 Alaska 10.0 263 48 44.5 Arizona 8.1 294 80 31.0 Arkansas 8.8 190 50 19.5 California 9.0 276 91 40.6 Colorado 7.9 204 78 38.7 Connecticut 3.3 110 77 11.1 Delaware 5.9 238 72 15.8 Florida 15.4 335 80 31.9 Georgia 17.4 211 60 25.8 Hawaii 5.3 46 83 20.2 Idaho 2.6 120 54 14.2 Illinois 10.4 249 83 24.0 Indiana 7.2 113 65 21.0 Iowa 2.2 56 57 11.3 Kansas 6.0 115 66 18.0 Kentucky 9.7 109 52 16.3 Louisiana 15.4 249 66 22.2 Maine 2.1 83 51 7.8 Maryland 11.3 300 67 27.8 Massachusetts 4.4 149 85 16.3 Michigan 12.1 255 74 35.1 Minnesota 2.7 72 66 14.9 Mississippi 16.1 259 44 17.1 Missouri 9.0 178 70 28.2 Montana 6.0 109 53 16.4 Nebraska 4.3 102 62 16.5 Nevada 12.2 252 81 46.0 New Hampshire 2.1 57 56 9.5 New Jersey 7.4 159 89 18.8 New Mexico 11.4 285 70 32.1 New York 11.1 254 86 26.1 North Carolina 13.0 337 45 16.1 North Dakota 0.8 45 44 7.3 Ohio 7.3 120 75 21.4 Oklahoma 6.6 151 68 20.0 Oregon 4.9 159 67 29.3 Pennsylvania 6.3 106 72 14.9 Rhode Island 3.4 174 87 8.3 South Carolina 14.4 279 48 22.5 South Dakota 3.8 86 45 12.8 Tennessee 13.2 188 59 26.9 Texas 12.7 201 80 25.5 Utah 3.2 120 80 22.9 Vermont 2.2 48 32 11.2 Virginia 8.5 156 63 20.7 Washington 4.0 145 73 26.2 West Virginia 5.7 81 39 9.3 Wisconsin 2.6 53 66 10.8 Wyoming 6.8 161 60 15.6 > sqlQuery(channel, 'select "State", "Murder" from "USArrests" where "Rape" > 30 order by "Murder"') State Murder 1 Colorado 7.9 2 Arizona 8.1 3 California 9.0 4 Alaska 10.0 5 New Mexico 11.4 6 Michigan 12.1 7 Nevada 12.2 8 Florida 15.4 > foo <- cbind(State=row.names(USArrests), USArrests)[1:3, c(1,3)] > foo[1,2] <- 236 > sqlUpdate(channel, foo, "USArrests", index = "State") > sqlFetch(channel, "USArrests", rownames = "State", max = 5) Murder Assault UrbanPop Rape Alabama 13.2 236 58 21.2 Alaska 10.0 263 48 44.5 Arizona 8.1 294 80 31.0 Arkansas 8.8 190 50 19.5 California 9.0 276 91 40.6 > sqlFetchMore(channel, rownames = "State", max = 8) Murder Assault UrbanPop Rape Colorado 7.9 204 78 38.7 Connecticut 3.3 110 77 11.1 Delaware 5.9 238 72 15.8 Florida 15.4 335 80 31.9 Georgia 17.4 211 60 25.8 Hawaii 5.3 46 83 20.2 Idaho 2.6 120 54 14.2 Illinois 10.4 249 83 24.0 > sqlDrop(channel, "USArrests") > > Btest <- Atest <- + data.frame(x = c(paste(1:100, collapse="+"), letters[2:4]), rn=1:4) > Btest[,1] <- Atest[c(4,1:3),1] > sqlDrop(channel, "Atest", errors = FALSE) > ## max for varchar is 4000, for char 2000, half that for nchar, nvarchar > colspec <- list(character="varchar(1000)", double="binary_double", + integer="decimal", logical="varchar(5)") > sqlSave(channel, Atest, typeInfo = colspec) > sqlColumns(channel, "Atest") TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME COLUMN_SIZE 1 RIPLEY Atest rownames 12 VARCHAR2 1000 2 RIPLEY Atest x 12 VARCHAR2 1000 3 RIPLEY Atest rn 3 DECIMAL 38 BUFFER_LENGTH DECIMAL_DIGITS NUM_PREC_RADIX NULLABLE REMARKS COLUMN_DEF 1 1000 NA NA 1 2 1000 NA NA 1 3 40 0 10 1 SQL_DATA_TYPE SQL_DATETIME_SUB CHAR_OCTET_LENGTH ORDINAL_POSITION IS_NULLABLE 1 12 0 1000 1 YES 2 12 0 1000 2 YES 3 3 0 0 3 YES > sqlFetch(channel, "Atest") x 1 1+2+3+4+5+6+7+8+9+10+11+12+13+14+15+16+17+18+19+20+21+22+23+24+25+26+27+28+29+30+31+32+33+34+35+36+37+38+39+40+41+42+43+44+45+46+47+48+49+50+51+52+53+54+55+56+57+58+59+60+61+62+63+64+65+66+67+68+69+70+71+72+73+74+75+76+77+78+79+80+81+82+83+84+85+86+87+88+89+90+91+92+93+94+95+96+97+98+99+100 2 b 3 c 4 d rn 1 1 2 2 3 3 4 4 > sqlUpdate(channel, Btest, "Atest", index = "rn") > sqlFetch(channel, "Atest") x 1 d 2 1+2+3+4+5+6+7+8+9+10+11+12+13+14+15+16+17+18+19+20+21+22+23+24+25+26+27+28+29+30+31+32+33+34+35+36+37+38+39+40+41+42+43+44+45+46+47+48+49+50+51+52+53+54+55+56+57+58+59+60+61+62+63+64+65+66+67+68+69+70+71+72+73+74+75+76+77+78+79+80+81+82+83+84+85+86+87+88+89+90+91+92+93+94+95+96+97+98+99+100 3 b 4 c rn 1 1 2 2 3 3 4 4 > sqlDrop(channel, "Atest") > varspec <- "varchar(1000)"; names(varspec) <- "x" > sqlSave(channel, Atest, varTypes = varspec) > sqlColumns(channel, "Atest") TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME COLUMN_SIZE 1 RIPLEY Atest rownames 12 VARCHAR2 255 2 RIPLEY Atest x 12 VARCHAR2 1000 3 RIPLEY Atest rn 3 DECIMAL 38 BUFFER_LENGTH DECIMAL_DIGITS NUM_PREC_RADIX NULLABLE REMARKS COLUMN_DEF 1 255 NA NA 1 2 1000 NA NA 1 3 40 0 10 1 SQL_DATA_TYPE SQL_DATETIME_SUB CHAR_OCTET_LENGTH ORDINAL_POSITION IS_NULLABLE 1 12 0 255 1 YES 2 12 0 1000 2 YES 3 3 0 0 3 YES > sqlFetch(channel, "Atest") x 1 1+2+3+4+5+6+7+8+9+10+11+12+13+14+15+16+17+18+19+20+21+22+23+24+25+26+27+28+29+30+31+32+33+34+35+36+37+38+39+40+41+42+43+44+45+46+47+48+49+50+51+52+53+54+55+56+57+58+59+60+61+62+63+64+65+66+67+68+69+70+71+72+73+74+75+76+77+78+79+80+81+82+83+84+85+86+87+88+89+90+91+92+93+94+95+96+97+98+99+100 2 b 3 c 4 d rn 1 1 2 2 3 3 4 4 > sqlDrop(channel, "Atest") > > dates <- as.character(seq(as.Date("2004-01-01"), by="week", length=10)) > times <- paste(1:10, "05", "00", sep=":") > dt <- as.POSIXct(paste(dates, times)) > Dtest <- data.frame(dates, dt, logi=c(TRUE, NA, FALSE, FALSE, FALSE)) > varspec <- c("date", "timestamp", "varchar(5)") > names(varspec) <- names(Dtest) > sqlDrop(channel, "Dtest", errors = FALSE) > sqlSave(channel, Dtest, varTypes = varspec) > sqlColumns(channel, "Dtest") TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME 1 RIPLEY Dtest rownames 12 VARCHAR2 2 RIPLEY Dtest dates 93 DATE 3 RIPLEY Dtest dt 93 TIMESTAMP(6) 4 RIPLEY Dtest logi 12 VARCHAR2 COLUMN_SIZE BUFFER_LENGTH DECIMAL_DIGITS NUM_PREC_RADIX NULLABLE REMARKS 1 255 255 NA NA 1 2 19 16 NA NA 1 3 19 11 6 NA 1 4 5 5 NA NA 1 COLUMN_DEF SQL_DATA_TYPE SQL_DATETIME_SUB CHAR_OCTET_LENGTH ORDINAL_POSITION 1 12 0 255 1 2 9 3 0 2 3 9 3 0 3 4 12 0 5 4 IS_NULLABLE 1 YES 2 YES 3 YES 4 YES > sqlFetch(channel, "Dtest") dates dt logi 1 2004-01-01 2004-01-01 01:05:00 TRUE 2 2004-01-08 2004-01-08 02:05:00 NA 3 2004-01-15 2004-01-15 03:05:00 FALSE 4 2004-01-22 2004-01-22 04:05:00 FALSE 5 2004-01-29 2004-01-29 05:05:00 FALSE 6 2004-02-05 2004-02-05 06:05:00 TRUE 7 2004-02-12 2004-02-12 07:05:00 NA 8 2004-02-19 2004-02-19 08:05:00 FALSE 9 2004-02-26 2004-02-26 09:05:00 FALSE 10 2004-03-04 2004-03-04 10:05:00 FALSE > sqlDrop(channel, "Dtest") > > sqlQuery(channel, "alter session set NLS_DATE_FORMAT='yyyy-mm-dd hh:mi:ss'") character(0) > sqlDrop(channel, "Dtest", errors = FALSE) > sqlSave(channel, Dtest[-1], "Dtest", fast = FALSE, + varTypes = c(dt = "date", logi = "varchar(5)")) > sqlColumns(channel, "Dtest") TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME COLUMN_SIZE 1 RIPLEY Dtest rownames 12 VARCHAR2 255 2 RIPLEY Dtest dt 93 DATE 19 3 RIPLEY Dtest logi 12 VARCHAR2 5 BUFFER_LENGTH DECIMAL_DIGITS NUM_PREC_RADIX NULLABLE REMARKS COLUMN_DEF 1 255 NA NA 1 2 16 NA NA 1 3 5 NA NA 1 SQL_DATA_TYPE SQL_DATETIME_SUB CHAR_OCTET_LENGTH ORDINAL_POSITION IS_NULLABLE 1 12 0 255 1 YES 2 9 3 0 2 YES 3 12 0 5 3 YES > sqlFetch(channel, "Dtest") dt logi 1 2004-01-01 01:05:00 TRUE 2 2004-01-08 02:05:00 NA 3 2004-01-15 03:05:00 FALSE 4 2004-01-22 04:05:00 FALSE 5 2004-01-29 05:05:00 FALSE 6 2004-02-05 06:05:00 TRUE 7 2004-02-12 07:05:00 NA 8 2004-02-19 08:05:00 FALSE 9 2004-02-26 09:05:00 FALSE 10 2004-03-04 10:05:00 FALSE > sqlDrop(channel, "Dtest") > > sqlDrop(channel, "hills test", errors = FALSE) > sqlSave(channel, hills, "hills test", verbose=TRUE) Query: CREATE TABLE "hills test" ("rownames" varchar(255), "dist" binary_double, "climb" decimal, "time" binary_double) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( ?,?,?,? ) Binding: 'rownames' DataType 12, ColSize 255 Binding: 'dist' DataType 6, ColSize 38 Binding: 'climb' DataType 3, ColSize 38 Binding: 'time' DataType 6, ColSize 38 Parameters: no: 1: rownames Greenmantle/***/no: 2: dist 2.5/***/no: 3: climb 650/***/no: 4: time 16.083/***/ no: 1: rownames Carnethy/***/no: 2: dist 6/***/no: 3: climb 2500/***/no: 4: time 48.35/***/ no: 1: rownames Craig Dunain/***/no: 2: dist 6/***/no: 3: climb 900/***/no: 4: time 33.65/***/ no: 1: rownames Ben Rha/***/no: 2: dist 7.5/***/no: 3: climb 800/***/no: 4: time 45.6/***/ no: 1: rownames Ben Lomond/***/no: 2: dist 8/***/no: 3: climb 3070/***/no: 4: time 62.267/***/ no: 1: rownames Goatfell/***/no: 2: dist 8/***/no: 3: climb 2866/***/no: 4: time 73.217/***/ no: 1: rownames Bens of Jura/***/no: 2: dist 16/***/no: 3: climb 7500/***/no: 4: time 204.617/***/ no: 1: rownames Cairnpapple/***/no: 2: dist 6/***/no: 3: climb 800/***/no: 4: time 36.367/***/ no: 1: rownames Scolty/***/no: 2: dist 5/***/no: 3: climb 800/***/no: 4: time 29.75/***/ no: 1: rownames Traprain/***/no: 2: dist 6/***/no: 3: climb 650/***/no: 4: time 39.75/***/ no: 1: rownames Lairig Ghru/***/no: 2: dist 28/***/no: 3: climb 2100/***/no: 4: time 192.667/***/ no: 1: rownames Dollar ('$')/***/no: 2: dist 5/***/no: 3: climb 2000/***/no: 4: time 43.05/***/ no: 1: rownames Lomonds/***/no: 2: dist 9.5/***/no: 3: climb 2200/***/no: 4: time 65/***/ no: 1: rownames Cairn Table/***/no: 2: dist 6/***/no: 3: climb 500/***/no: 4: time 44.133/***/ no: 1: rownames Eildon Two/***/no: 2: dist 4.5/***/no: 3: climb 1500/***/no: 4: time 26.933/***/ > sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=TRUE) Query: UPDATE "hills test" SET "dist"=?, "climb"=?, "time"=? WHERE "rownames"=? Binding: 'dist' DataType 6, ColSize 38 Binding: 'climb' DataType 3, ColSize 38 Binding: 'time' DataType 6, ColSize 38 Binding: 'rownames' DataType 12, ColSize 255 Parameters: no: 1: dist 28/***/no: 2: climb 2100/***/no: 3: time 192.667/***/no: 4: rownames Lairig Ghru/***/ no: 1: dist 5/***/no: 2: climb 2000/***/no: 3: time 43.05/***/no: 4: rownames Dollar ('$')/***/ no: 1: dist 9.5/***/no: 2: climb 2200/***/no: 3: time 65/***/no: 4: rownames Lomonds/***/ no: 1: dist 6/***/no: 2: climb 500/***/no: 3: time 44.133/***/no: 4: rownames Cairn Table/***/ no: 1: dist 4.5/***/no: 2: climb 1500/***/no: 3: time 26.933/***/no: 4: rownames Eildon Two/***/ > sqlFetch(channel, "hills test") dist climb time Greenmantle 2.5 650 16.083 Carnethy 6.0 2500 48.350 Craig Dunain 6.0 900 33.650 Ben Rha 7.5 800 45.600 Ben Lomond 8.0 3070 62.267 Goatfell 8.0 2866 73.217 Bens of Jura 16.0 7500 204.617 Cairnpapple 6.0 800 36.367 Scolty 5.0 800 29.750 Traprain 6.0 650 39.750 Lairig Ghru 28.0 2100 192.667 Dollar ('$') 5.0 2000 43.050 Lomonds 9.5 2200 65.000 Cairn Table 6.0 500 44.133 Eildon Two 4.5 1500 26.933 > sqlDrop(channel, "hills test") > sqlSave(channel, hills, "hills test", verbose=TRUE, fast=FALSE) Query: CREATE TABLE "hills test" ("rownames" varchar(255), "dist" binary_double, "climb" decimal, "time" binary_double) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Greenmantle', 2.5, 650, 16.083 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Carnethy', 6.0, 2500, 48.350 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Craig Dunain', 6.0, 900, 33.650 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Ben Rha', 7.5, 800, 45.600 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Ben Lomond', 8.0, 3070, 62.267 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Goatfell', 8.0, 2866, 73.217 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Bens of Jura', 16.0, 7500, 204.617 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Cairnpapple', 6.0, 800, 36.367 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Scolty', 5.0, 800, 29.750 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Traprain', 6.0, 650, 39.750 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Lairig Ghru', 28.0, 2100, 192.667 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Dollar (''$'')', 5.0, 2000, 43.050 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Lomonds', 9.5, 2200, 65.000 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Cairn Table', 6.0, 500, 44.133 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Eildon Two', 4.5, 1500, 26.933 ) > sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=FALSE) Query: UPDATE "hills test" SET "dist"=28.0, "climb"=2100, "time"=192.667 WHERE "rownames"='Lairig Ghru' Query: UPDATE "hills test" SET "dist"= 5.0, "climb"=2000, "time"= 43.050 WHERE "rownames"='Dollar (''$'')' Query: UPDATE "hills test" SET "dist"= 9.5, "climb"=2200, "time"= 65.000 WHERE "rownames"='Lomonds' Query: UPDATE "hills test" SET "dist"= 6.0, "climb"= 500, "time"= 44.133 WHERE "rownames"='Cairn Table' Query: UPDATE "hills test" SET "dist"= 4.5, "climb"=1500, "time"= 26.933 WHERE "rownames"='Eildon Two' > sqlDrop(channel, "hills test") > > ## dropping tables in Oracle does not delete them. > sqlQuery(channel, "PURGE recyclebin") character(0) > > sqlTables(channel, catalog="", schema="", tableName="", tableType="%") TABLE_CAT TABLE_SCHEM TABLE_NAME TABLE_TYPE REMARKS 1 TABLE 2 VIEW > sqlTables(channel, catalog="", schema="%", tableName="") TABLE_CAT TABLE_SCHEM TABLE_NAME TABLE_TYPE REMARKS 1 CTXSYS 2 DMSYS 3 EXFSYS 4 MDSYS 5 OLAPSYS 6 ORDSYS 7 SYS 8 SYSTEM 9 WMSYS 10 XDB > sqlSave(channel, women) > sqlFetch(channel, "SYSTEM.TAB") TNAME TABTYPE CLUSTERID 1 women TABLE NA > sqlFetch(channel, "SYSTEM.COL") TNAME COLNO CNAME COLTYPE WIDTH SCALE PRECISION NULLS DEFAULTVAL 1 women 3 weight BINARY_DOUBLE 8 NA NA NULL NA 2 women 2 height BINARY_DOUBLE 8 NA NA NULL NA 3 women 1 rownames VARCHAR2 255 NA NA NULL NA CHARACTER_SET_NAME 1 2 3 CHAR_CS > sqlColumns(channel, schema="SYSTEM", "TAB") TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME 1 SYSTEM TAB TNAME 12 VARCHAR2 2 SYSTEM TAB TABTYPE 12 VARCHAR2 3 SYSTEM TAB CLUSTERID 8 DOUBLE PRECISION COLUMN_SIZE BUFFER_LENGTH DECIMAL_DIGITS NUM_PREC_RADIX NULLABLE REMARKS 1 30 30 NA NA 0 2 7 7 NA NA 1 3 15 22 NA 10 1 COLUMN_DEF SQL_DATA_TYPE SQL_DATETIME_SUB CHAR_OCTET_LENGTH ORDINAL_POSITION 1 12 0 0 1 2 12 0 0 2 3 8 0 0 3 IS_NULLABLE 1 NO 2 YES 3 YES > sqlDrop(channel, "women") > > ## dropping tables in Oracle does not delete them. > sqlQuery(channel, "PURGE recyclebin") character(0) > close(channel) > RODBC/tests/Master.R0000644000176000001440000000236512234552053013662 0ustar ripleyusersif(!nzchar(Sys.getenv("RODBC_TESTING"))) q("no") runone <- function(f) { message(" Running ", sQuote(f)) infile <- paste(f, "RR", sep = ".") outfile <- paste(f, "Rout", sep = ".") cmd <- paste(shQuote(file.path(R.home("bin"), "R")), "CMD BATCH --vanilla", shQuote(infile), shQuote(outfile)) res <- system(cmd) if (res) { cat(readLines(outfile), sep="\n") file.rename(outfile, paste(outfile, "fail", sep=".")) return(1L) } savefile <- paste(outfile, "save", sep = "." ) if (file.exists(savefile)) { message(" Comparing ", sQuote(outfile), " to ", sQuote(savefile), " ...", appendLF = FALSE) res <- tools:::Rdiff(outfile, savefile, TRUE) if (!res) message(" OK") } 0L } res <- if(.Platform$OS.type == "windows") runone("mysql-win") else runone("mysql") res <- res + runone("sqlite3") res <- res + runone("postgresql") if(.Platform$OS.type == "windows") { res <- res + runone("access") res <- res + runone("excel") res <- res + runone("SQLServer") res <- res + runone("mimer") res <- res + runone("DB2") res <- res + runone("Oracle") } proc.time() if(res) stop(gettextf("%d tests failed", res)) RODBC/tests/mysql-win.Rout.save0000644000176000001440000006025711754561777016103 0ustar ripleyusers R version 2.9.1 Patched (2009-07-09 r48925) Copyright (C) 2009 The R Foundation for Statistical Computing ISBN 3-900051-07-0 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > ##-*- R -*- > ## MySQL is not case-honouring on Windows > library(RODBC) > library(MASS) > USArrests[1,2] <- NA > hills <- hills[1:15,] > row.names(hills)[12] <- "Dollar ('$')" > > ## testdb3 is ODBC/Connector 3.51.x, testdb5 is 5.1.x > channel <- odbcConnect("testdb5") > if(!inherits(channel, "RODBC")) q("no") > sqlTables(channel) [1] TABLE_CAT TABLE_SCHEM TABLE_NAME TABLE_TYPE REMARKS <0 rows> (or 0-length row.names) > sqlDrop(channel, "USArrests", errors = FALSE) > sqlSave(channel, USArrests, rownames = "state", addPK = TRUE) > sqlTables(channel) TABLE_CAT TABLE_SCHEM TABLE_NAME TABLE_TYPE REMARKS 1 usarrests TABLE > sqlColumns(channel, "USArrests") TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME COLUMN_SIZE 1 usarrests state 12 varchar 255 2 usarrests murder 8 double 15 3 usarrests assault 4 integer 10 4 usarrests urbanpop 4 integer 10 5 usarrests rape 8 double 15 BUFFER_LENGTH DECIMAL_DIGITS NUM_PREC_RADIX NULLABLE REMARKS COLUMN_DEF 1 255 NA NA 0 '' 2 8 NA NA 1 3 4 0 10 1 4 4 0 10 1 5 8 NA NA 1 SQL_DATA_TYPE SQL_DATETIME_SUB CHAR_OCTET_LENGTH ORDINAL_POSITION IS_NULLABLE 1 12 NA 255 1 NO 2 8 NA NA 2 YES 3 4 NA NA 3 YES 4 4 NA NA 4 YES 5 8 NA NA 5 YES > sqlColumns(channel, "USArrests", special = TRUE) SCOPE COLUMN_NAME DATA_TYPE TYPE_NAME COLUMN_SIZE BUFFER_LENGTH 1 2 state 12 varchar 255 255 DECIMAL_DIGITS PSEUDO_COLUMN 1 NA 1 > sqlPrimaryKeys(channel, "USArrests") TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME KEY_SEQ PK_NAME 1 usarrests state 1 PRIMARY > sqlFetch(channel, "USArrests", rownames = "state") murder assault urbanpop rape Alabama 13.2 NA 58 21.2 Alaska 10.0 263 48 44.5 Arizona 8.1 294 80 31.0 Arkansas 8.8 190 50 19.5 California 9.0 276 91 40.6 Colorado 7.9 204 78 38.7 Connecticut 3.3 110 77 11.1 Delaware 5.9 238 72 15.8 Florida 15.4 335 80 31.9 Georgia 17.4 211 60 25.8 Hawaii 5.3 46 83 20.2 Idaho 2.6 120 54 14.2 Illinois 10.4 249 83 24.0 Indiana 7.2 113 65 21.0 Iowa 2.2 56 57 11.3 Kansas 6.0 115 66 18.0 Kentucky 9.7 109 52 16.3 Louisiana 15.4 249 66 22.2 Maine 2.1 83 51 7.8 Maryland 11.3 300 67 27.8 Massachusetts 4.4 149 85 16.3 Michigan 12.1 255 74 35.1 Minnesota 2.7 72 66 14.9 Mississippi 16.1 259 44 17.1 Missouri 9.0 178 70 28.2 Montana 6.0 109 53 16.4 Nebraska 4.3 102 62 16.5 Nevada 12.2 252 81 46.0 New Hampshire 2.1 57 56 9.5 New Jersey 7.4 159 89 18.8 New Mexico 11.4 285 70 32.1 New York 11.1 254 86 26.1 North Carolina 13.0 337 45 16.1 North Dakota 0.8 45 44 7.3 Ohio 7.3 120 75 21.4 Oklahoma 6.6 151 68 20.0 Oregon 4.9 159 67 29.3 Pennsylvania 6.3 106 72 14.9 Rhode Island 3.4 174 87 8.3 South Carolina 14.4 279 48 22.5 South Dakota 3.8 86 45 12.8 Tennessee 13.2 188 59 26.9 Texas 12.7 201 80 25.5 Utah 3.2 120 80 22.9 Vermont 2.2 48 32 11.2 Virginia 8.5 156 63 20.7 Washington 4.0 145 73 26.2 West Virginia 5.7 81 39 9.3 Wisconsin 2.6 53 66 10.8 Wyoming 6.8 161 60 15.6 > sqlQuery(channel, "select state, murder from USArrests where rape > 30 order by murder") state murder 1 Colorado 7.9 2 Arizona 8.1 3 California 9.0 4 Alaska 10.0 5 New Mexico 11.4 6 Michigan 12.1 7 Nevada 12.2 8 Florida 15.4 > foo <- cbind(state=row.names(USArrests), USArrests)[1:3, c(1,3)] > foo[1,2] <- 236 > sqlUpdate(channel, foo, "USArrests") > sqlFetch(channel, "USArrests", rownames = "state", max = 5) murder assault urbanpop rape Alabama 13.2 236 58 21.2 Alaska 10.0 263 48 44.5 Arizona 8.1 294 80 31.0 Arkansas 8.8 190 50 19.5 California 9.0 276 91 40.6 > sqlFetchMore(channel, rownames = "state", max = 8) murder assault urbanpop rape Colorado 7.9 204 78 38.7 Connecticut 3.3 110 77 11.1 Delaware 5.9 238 72 15.8 Florida 15.4 335 80 31.9 Georgia 17.4 211 60 25.8 Hawaii 5.3 46 83 20.2 Idaho 2.6 120 54 14.2 Illinois 10.4 249 83 24.0 > sqlDrop(channel, "USArrests") > > Btest <- Atest <- + data.frame(x = c(paste(1:100, collapse="+"), letters[2:4]), rn=1:4) > Btest[,1] <- Atest[c(4,1:3),1] > sqlDrop(channel, "Atest", errors = FALSE) > colspec <- list(character="text", double="double", + integer="integer", logical="varchar(5)") > sqlSave(channel, Atest, typeInfo = colspec) > sqlColumns(channel, "Atest") TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME COLUMN_SIZE 1 atest rownames -1 text 65535 2 atest x -1 text 65535 3 atest rn 4 integer 10 BUFFER_LENGTH DECIMAL_DIGITS NUM_PREC_RADIX NULLABLE REMARKS COLUMN_DEF 1 65535 NA NA 1 2 65535 NA NA 1 3 4 0 10 1 SQL_DATA_TYPE SQL_DATETIME_SUB CHAR_OCTET_LENGTH ORDINAL_POSITION IS_NULLABLE 1 -1 NA 65535 1 YES 2 -1 NA 65535 2 YES 3 4 NA NA 3 YES > sqlFetch(channel, "Atest") x 1 1+2+3+4+5+6+7+8+9+10+11+12+13+14+15+16+17+18+19+20+21+22+23+24+25+26+27+28+29+30+31+32+33+34+35+36+37+38+39+40+41+42+43+44+45+46+47+48+49+50+51+52+53+54+55+56+57+58+59+60+61+62+63+64+65+66+67+68+69+70+71+72+73+74+75+76+77+78+79+80+81+82+83+84+85+86+87+88+89+90+91+92+93+94+95+96+97+98+99+100 2 b 3 c 4 d rn 1 1 2 2 3 3 4 4 > sqlUpdate(channel, Btest, "Atest", index = "rn") > sqlFetch(channel, "Atest") x 1 d 2 1+2+3+4+5+6+7+8+9+10+11+12+13+14+15+16+17+18+19+20+21+22+23+24+25+26+27+28+29+30+31+32+33+34+35+36+37+38+39+40+41+42+43+44+45+46+47+48+49+50+51+52+53+54+55+56+57+58+59+60+61+62+63+64+65+66+67+68+69+70+71+72+73+74+75+76+77+78+79+80+81+82+83+84+85+86+87+88+89+90+91+92+93+94+95+96+97+98+99+100 3 b 4 c rn 1 1 2 2 3 3 4 4 > sqlDrop(channel, "Atest") > varspec <- "text"; names(varspec) <- "x" > sqlSave(channel, Atest, varTypes = varspec) > sqlColumns(channel, "Atest") TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME COLUMN_SIZE 1 atest rownames 12 varchar 255 2 atest x -1 text 65535 3 atest rn 4 integer 10 BUFFER_LENGTH DECIMAL_DIGITS NUM_PREC_RADIX NULLABLE REMARKS COLUMN_DEF 1 255 NA NA 1 2 65535 NA NA 1 3 4 0 10 1 SQL_DATA_TYPE SQL_DATETIME_SUB CHAR_OCTET_LENGTH ORDINAL_POSITION IS_NULLABLE 1 12 NA 255 1 YES 2 -1 NA 65535 2 YES 3 4 NA NA 3 YES > sqlFetch(channel, "Atest") x 1 1+2+3+4+5+6+7+8+9+10+11+12+13+14+15+16+17+18+19+20+21+22+23+24+25+26+27+28+29+30+31+32+33+34+35+36+37+38+39+40+41+42+43+44+45+46+47+48+49+50+51+52+53+54+55+56+57+58+59+60+61+62+63+64+65+66+67+68+69+70+71+72+73+74+75+76+77+78+79+80+81+82+83+84+85+86+87+88+89+90+91+92+93+94+95+96+97+98+99+100 2 b 3 c 4 d rn 1 1 2 2 3 3 4 4 > sqlDrop(channel, "Atest") > > dates <- as.character(seq(as.Date("2004-01-01"), by="week", length=10)) > times <- paste(1:10, "05", "00", sep=":") > dt <- as.POSIXct(paste(dates, times)) > Dtest <- data.frame(dates, times, dt, logi=c(TRUE, NA, FALSE, FALSE, FALSE)) > varspec <- c("date", "time", "timestamp", "varchar(5)") > names(varspec) <- names(Dtest) > sqlDrop(channel, "Dtest", errors = FALSE) > sqlSave(channel, Dtest, varTypes = varspec) > sqlColumns(channel, "Dtest") TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME COLUMN_SIZE 1 dtest rownames 12 varchar 255 2 dtest dates 91 date 10 3 dtest times 92 time 8 4 dtest dt 93 timestamp 19 5 dtest logi 12 varchar 5 BUFFER_LENGTH DECIMAL_DIGITS NUM_PREC_RADIX NULLABLE REMARKS COLUMN_DEF 1 255 NA NA 1 2 6 NA NA 1 3 6 0 10 1 4 16 0 10 1 5 5 NA NA 1 SQL_DATA_TYPE SQL_DATETIME_SUB CHAR_OCTET_LENGTH ORDINAL_POSITION IS_NULLABLE 1 12 NA 255 1 YES 2 9 91 NA 2 YES 3 9 92 NA 3 YES 4 9 93 NA 4 YES 5 12 NA 5 5 YES > sqlFetch(channel, "Dtest") dates times dt logi 1 2004-01-01 01:05:00 2004-01-01 01:05:00 TRUE 2 2004-01-08 02:05:00 2004-01-08 02:05:00 NA 3 2004-01-15 03:05:00 2004-01-15 03:05:00 FALSE 4 2004-01-22 04:05:00 2004-01-22 04:05:00 FALSE 5 2004-01-29 05:05:00 2004-01-29 05:05:00 FALSE 6 2004-02-05 06:05:00 2004-02-05 06:05:00 TRUE 7 2004-02-12 07:05:00 2004-02-12 07:05:00 NA 8 2004-02-19 08:05:00 2004-02-19 08:05:00 FALSE 9 2004-02-26 09:05:00 2004-02-26 09:05:00 FALSE 10 2004-03-04 10:05:00 2004-03-04 10:05:00 FALSE > sqlDrop(channel, "Dtest", errors = FALSE) > sqlSave(channel, Dtest, varTypes = varspec, fast = FALSE) > sqlColumns(channel, "Dtest") TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME COLUMN_SIZE 1 dtest rownames 12 varchar 255 2 dtest dates 91 date 10 3 dtest times 92 time 8 4 dtest dt 93 timestamp 19 5 dtest logi 12 varchar 5 BUFFER_LENGTH DECIMAL_DIGITS NUM_PREC_RADIX NULLABLE REMARKS COLUMN_DEF 1 255 NA NA 1 2 6 NA NA 1 3 6 0 10 1 4 16 0 10 1 5 5 NA NA 1 SQL_DATA_TYPE SQL_DATETIME_SUB CHAR_OCTET_LENGTH ORDINAL_POSITION IS_NULLABLE 1 12 NA 255 1 YES 2 9 91 NA 2 YES 3 9 92 NA 3 YES 4 9 93 NA 4 YES 5 12 NA 5 5 YES > sqlFetch(channel, "Dtest") dates times dt logi 1 2004-01-01 01:05:00 2004-01-01 01:05:00 TRUE 2 2004-01-08 02:05:00 2004-01-08 02:05:00 NA 3 2004-01-15 03:05:00 2004-01-15 03:05:00 FALSE 4 2004-01-22 04:05:00 2004-01-22 04:05:00 FALSE 5 2004-01-29 05:05:00 2004-01-29 05:05:00 FALSE 6 2004-02-05 06:05:00 2004-02-05 06:05:00 TRUE 7 2004-02-12 07:05:00 2004-02-12 07:05:00 NA 8 2004-02-19 08:05:00 2004-02-19 08:05:00 FALSE 9 2004-02-26 09:05:00 2004-02-26 09:05:00 FALSE 10 2004-03-04 10:05:00 2004-03-04 10:05:00 FALSE > sqlDrop(channel, "Dtest") > > sqlDrop(channel, "hills test", errors = FALSE) > sqlSave(channel, hills, "hills test", verbose=TRUE) Query: CREATE TABLE `hills test` (`rownames` varchar(255), `dist` double, `climb` integer, `time` double) Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( ?,?,?,? ) Binding: 'rownames' DataType 12, ColSize 255 Binding: 'dist' DataType 8, ColSize 15 Binding: 'climb' DataType 4, ColSize 10 Binding: 'time' DataType 8, ColSize 15 Parameters: no: 1: rownames Greenmantle/***/no: 2: dist 2.5/***/no: 3: climb 650/***/no: 4: time 16.083/***/ no: 1: rownames Carnethy/***/no: 2: dist 6/***/no: 3: climb 2500/***/no: 4: time 48.35/***/ no: 1: rownames Craig Dunain/***/no: 2: dist 6/***/no: 3: climb 900/***/no: 4: time 33.65/***/ no: 1: rownames Ben Rha/***/no: 2: dist 7.5/***/no: 3: climb 800/***/no: 4: time 45.6/***/ no: 1: rownames Ben Lomond/***/no: 2: dist 8/***/no: 3: climb 3070/***/no: 4: time 62.267/***/ no: 1: rownames Goatfell/***/no: 2: dist 8/***/no: 3: climb 2866/***/no: 4: time 73.217/***/ no: 1: rownames Bens of Jura/***/no: 2: dist 16/***/no: 3: climb 7500/***/no: 4: time 204.617/***/ no: 1: rownames Cairnpapple/***/no: 2: dist 6/***/no: 3: climb 800/***/no: 4: time 36.367/***/ no: 1: rownames Scolty/***/no: 2: dist 5/***/no: 3: climb 800/***/no: 4: time 29.75/***/ no: 1: rownames Traprain/***/no: 2: dist 6/***/no: 3: climb 650/***/no: 4: time 39.75/***/ no: 1: rownames Lairig Ghru/***/no: 2: dist 28/***/no: 3: climb 2100/***/no: 4: time 192.667/***/ no: 1: rownames Dollar ('$')/***/no: 2: dist 5/***/no: 3: climb 2000/***/no: 4: time 43.05/***/ no: 1: rownames Lomonds/***/no: 2: dist 9.5/***/no: 3: climb 2200/***/no: 4: time 65/***/ no: 1: rownames Cairn Table/***/no: 2: dist 6/***/no: 3: climb 500/***/no: 4: time 44.133/***/ no: 1: rownames Eildon Two/***/no: 2: dist 4.5/***/no: 3: climb 1500/***/no: 4: time 26.933/***/ > sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=TRUE) Query: UPDATE `hills test` SET `dist`=?, `climb`=?, `time`=? WHERE `rownames`=? Binding: 'dist' DataType 8, ColSize 15 Binding: 'climb' DataType 4, ColSize 10 Binding: 'time' DataType 8, ColSize 15 Binding: 'rownames' DataType 12, ColSize 255 Parameters: no: 1: dist 28/***/no: 2: climb 2100/***/no: 3: time 192.667/***/no: 4: rownames Lairig Ghru/***/ no: 1: dist 5/***/no: 2: climb 2000/***/no: 3: time 43.05/***/no: 4: rownames Dollar ('$')/***/ no: 1: dist 9.5/***/no: 2: climb 2200/***/no: 3: time 65/***/no: 4: rownames Lomonds/***/ no: 1: dist 6/***/no: 2: climb 500/***/no: 3: time 44.133/***/no: 4: rownames Cairn Table/***/ no: 1: dist 4.5/***/no: 2: climb 1500/***/no: 3: time 26.933/***/no: 4: rownames Eildon Two/***/ > sqlFetch(channel, "hills test") dist climb time Greenmantle 2.5 650 16.083 Carnethy 6.0 2500 48.350 Craig Dunain 6.0 900 33.650 Ben Rha 7.5 800 45.600 Ben Lomond 8.0 3070 62.267 Goatfell 8.0 2866 73.217 Bens of Jura 16.0 7500 204.617 Cairnpapple 6.0 800 36.367 Scolty 5.0 800 29.750 Traprain 6.0 650 39.750 Lairig Ghru 28.0 2100 192.667 Dollar ('$') 5.0 2000 43.050 Lomonds 9.5 2200 65.000 Cairn Table 6.0 500 44.133 Eildon Two 4.5 1500 26.933 > sqlDrop(channel, "hills test") > sqlSave(channel, hills, "hills test", verbose=TRUE, fast=FALSE) Query: CREATE TABLE `hills test` (`rownames` varchar(255), `dist` double, `climb` integer, `time` double) Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( 'Greenmantle', 2.5, 650, 16.083 ) Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( 'Carnethy', 6.0, 2500, 48.350 ) Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( 'Craig Dunain', 6.0, 900, 33.650 ) Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( 'Ben Rha', 7.5, 800, 45.600 ) Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( 'Ben Lomond', 8.0, 3070, 62.267 ) Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( 'Goatfell', 8.0, 2866, 73.217 ) Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( 'Bens of Jura', 16.0, 7500, 204.617 ) Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( 'Cairnpapple', 6.0, 800, 36.367 ) Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( 'Scolty', 5.0, 800, 29.750 ) Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( 'Traprain', 6.0, 650, 39.750 ) Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( 'Lairig Ghru', 28.0, 2100, 192.667 ) Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( 'Dollar (''$'')', 5.0, 2000, 43.050 ) Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( 'Lomonds', 9.5, 2200, 65.000 ) Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( 'Cairn Table', 6.0, 500, 44.133 ) Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( 'Eildon Two', 4.5, 1500, 26.933 ) > sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=FALSE) Query: UPDATE `hills test` SET `dist`=28.0, `climb`=2100, `time`=192.667 WHERE `rownames`='Lairig Ghru' Query: UPDATE `hills test` SET `dist`= 5.0, `climb`=2000, `time`= 43.050 WHERE `rownames`='Dollar (''$'')' Query: UPDATE `hills test` SET `dist`= 9.5, `climb`=2200, `time`= 65.000 WHERE `rownames`='Lomonds' Query: UPDATE `hills test` SET `dist`= 6.0, `climb`= 500, `time`= 44.133 WHERE `rownames`='Cairn Table' Query: UPDATE `hills test` SET `dist`= 4.5, `climb`=1500, `time`= 26.933 WHERE `rownames`='Eildon Two' > sqlDrop(channel, "hills test") > > sqlTables(channel, catalog="%") TABLE_CAT TABLE_SCHEM TABLE_NAME TABLE_TYPE REMARKS 1 information_schema 2 test > sqlTables(channel, catalog="test", tableName="%") [1] TABLE_CAT TABLE_SCHEM TABLE_NAME TABLE_TYPE REMARKS <0 rows> (or 0-length row.names) > > close(channel) > RODBC/tests/mysql.RR0000644000176000001440000000521411754561777013735 0ustar ripleyusers##-*- R -*- library(RODBC) library(MASS) USArrests[1,2] <- NA hills <- hills[1:15,] row.names(hills)[12] <- "Dollar ('$')" set.seed(1) channel <- odbcConnect("test") if(!inherits(channel, "RODBC")) q("no") odbcGetInfo(channel) sqlTables(channel) sqlDrop(channel, "USArrests", errors = FALSE) sqlSave(channel, USArrests, rownames = "State", addPK = TRUE) sqlTables(channel) sqlColumns(channel, "USArrests") sqlColumns(channel, "USArrests", special = TRUE) sqlPrimaryKeys(channel, "USArrests") sqlFetch(channel, "USArrests", rownames = "State") sqlQuery(channel, "select State, Murder from USArrests where Rape > 30 order by Murder") foo <- cbind(State=row.names(USArrests), USArrests)[1:3, c(1,3)] foo[1,2] <- 236 sqlUpdate(channel, foo, "USArrests") sqlFetch(channel, "USArrests", rownames = "State", max = 5) sqlFetchMore(channel, rownames = "State", max = 8) sqlDrop(channel, "USArrests") Btest <- Atest <- data.frame(x = c(paste(1:100, collapse="+"), letters[2:4]), rn=1:4) Btest[,1] <- Atest[c(4,1:3),1] sqlDrop(channel, "Atest", errors = FALSE) colspec <- list(character="text", double="double", integer="integer", logical="varchar(5)") sqlSave(channel, Atest, typeInfo = colspec) sqlColumns(channel, "Atest") sqlFetch(channel, "Atest") sqlUpdate(channel, Btest, "Atest", index = "rn") sqlFetch(channel, "Atest") sqlDrop(channel, "Atest") varspec <- "text"; names(varspec) <- "x" sqlSave(channel, Atest, varTypes = varspec) sqlColumns(channel, "Atest") sqlFetch(channel, "Atest") sqlDrop(channel, "Atest") dates <- as.character(seq(as.Date("2004-01-01"), by="week", length=10)) times <- paste(1:10, "05", "00", sep=":") dt <- as.POSIXct(paste(dates, times)) Dtest <- data.frame(dates, times, dt, logi=c(TRUE, NA, FALSE, FALSE, FALSE)) varspec <- c("date", "time", "timestamp", "varchar(5)") names(varspec) <- names(Dtest) sqlDrop(channel, "Dtest", errors = FALSE) sqlSave(channel, Dtest, varTypes = varspec) sqlColumns(channel, "Dtest") sqlFetch(channel, "Dtest") sqlDrop(channel, "Dtest", errors = FALSE) sqlSave(channel, Dtest, varTypes = varspec, fast = FALSE) sqlColumns(channel, "Dtest") sqlFetch(channel, "Dtest") sqlDrop(channel, "Dtest") sqlDrop(channel, "hills test", errors = FALSE) sqlSave(channel, hills, "hills test", verbose=TRUE) sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=TRUE) sqlFetch(channel, "hills test") sqlDrop(channel, "hills test") sqlSave(channel, hills, "hills test", verbose=TRUE, fast=FALSE) sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=FALSE) sqlDrop(channel, "hills test") sqlTables(channel, catalog="%") sqlTables(channel, catalog="ripley") sqlTables(channel, catalog="test") close(channel) RODBC/tests/mysql-win.RR0000644000176000001440000000531511754561777014532 0ustar ripleyusers##-*- R -*- ## MySQL is not case-honouring on Windows library(RODBC) library(MASS) USArrests[1,2] <- NA hills <- hills[1:15,] row.names(hills)[12] <- "Dollar ('$')" ## testdb3 is ODBC/Connector 3.51.x, testdb5 is 5.1.x channel <- odbcConnect("testdb5") if(!inherits(channel, "RODBC")) q("no") odbcGetInfo(channel) sqlTables(channel) sqlDrop(channel, "USArrests", errors = FALSE) sqlSave(channel, USArrests, rownames = "state", addPK = TRUE) sqlTables(channel) sqlColumns(channel, "USArrests") sqlColumns(channel, "USArrests", special = TRUE) sqlPrimaryKeys(channel, "USArrests") sqlFetch(channel, "USArrests", rownames = "state") sqlQuery(channel, "select state, murder from USArrests where rape > 30 order by murder") foo <- cbind(state=row.names(USArrests), USArrests)[1:3, c(1,3)] foo[1,2] <- 236 sqlUpdate(channel, foo, "USArrests") sqlFetch(channel, "USArrests", rownames = "state", max = 5) sqlFetchMore(channel, rownames = "state", max = 8) sqlDrop(channel, "USArrests") Btest <- Atest <- data.frame(x = c(paste(1:100, collapse="+"), letters[2:4]), rn=1:4) Btest[,1] <- Atest[c(4,1:3),1] sqlDrop(channel, "Atest", errors = FALSE) colspec <- list(character="text", double="double", integer="integer", logical="varchar(5)") sqlSave(channel, Atest, typeInfo = colspec) sqlColumns(channel, "Atest") sqlFetch(channel, "Atest") sqlUpdate(channel, Btest, "Atest", index = "rn") sqlFetch(channel, "Atest") sqlDrop(channel, "Atest") varspec <- "text"; names(varspec) <- "x" sqlSave(channel, Atest, varTypes = varspec) sqlColumns(channel, "Atest") sqlFetch(channel, "Atest") sqlDrop(channel, "Atest") dates <- as.character(seq(as.Date("2004-01-01"), by="week", length=10)) times <- paste(1:10, "05", "00", sep=":") dt <- as.POSIXct(paste(dates, times)) Dtest <- data.frame(dates, times, dt, logi=c(TRUE, NA, FALSE, FALSE, FALSE)) varspec <- c("date", "time", "timestamp", "varchar(5)") names(varspec) <- names(Dtest) sqlDrop(channel, "Dtest", errors = FALSE) sqlSave(channel, Dtest, varTypes = varspec) sqlColumns(channel, "Dtest") sqlFetch(channel, "Dtest") sqlDrop(channel, "Dtest", errors = FALSE) sqlSave(channel, Dtest, varTypes = varspec, fast = FALSE) sqlColumns(channel, "Dtest") sqlFetch(channel, "Dtest") sqlDrop(channel, "Dtest") sqlDrop(channel, "hills test", errors = FALSE) sqlSave(channel, hills, "hills test", verbose=TRUE) sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=TRUE) sqlFetch(channel, "hills test") sqlDrop(channel, "hills test") sqlSave(channel, hills, "hills test", verbose=TRUE, fast=FALSE) sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=FALSE) sqlDrop(channel, "hills test") sqlTables(channel, catalog="%") sqlTables(channel, catalog="test", tableName="%") close(channel) RODBC/tests/excel.Rout.save0000644000176000001440000003614211754561777015237 0ustar ripleyusers R version 2.9.1 Patched (2009-07-09 r48925) Copyright (C) 2009 The R Foundation for Statistical Computing ISBN 3-900051-07-0 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > ##-*- R -*- > library(RODBC) > library(MASS) > USArrests[1,2] <- NA > hills <- hills[1:15,] > row.names(hills)[12] <- "Dollar ('$')" > > > # DBase: maps table/column names to u/case, max length 8 > dbf <- system.file("files", "sids.dbf", package="foreign") > unlink("sids.dbf") > file.copy(dbf, "sids.dbf") [1] TRUE > channel <- odbcConnectDbase("sids.dbf") > str(sids <- sqlFetch(channel, "sids")) 'data.frame': 100 obs. of 14 variables: $ AREA : num 0.114 0.061 0.143 0.07 0.153 0.097 0.062 0.091 0.118 0.124 ... $ PERIMETER: num 1.44 1.23 1.63 2.97 2.21 ... $ CNTY_ : num 1825 1827 1828 1831 1832 ... $ CNTY_ID : num 1825 1827 1828 1831 1832 ... $ NAME : Factor w/ 100 levels "Alamance","Alexander",..: 5 3 86 27 66 46 15 37 93 85 ... $ FIPS : int 37009 37005 37171 37053 37131 37091 37029 37073 37185 37169 ... $ FIPSNO : num 37009 37005 37171 37053 37131 ... $ CRESS_ID : num 5 3 86 27 66 46 15 37 93 85 ... $ BIR74 : num 1091 487 3188 508 1421 ... $ SID74 : num 1 0 5 1 9 7 0 0 4 1 ... $ NWBIR74 : num 10 10 208 123 1066 ... $ BIR79 : num 1364 542 3616 830 1606 ... $ SID79 : num 0 3 6 2 3 5 2 2 2 5 ... $ NWBIR79 : num 19 12 260 145 1197 ... > sqlUpdate(channel, sids[1:2, ], "sids", index="NAME", verbose=TRUE, fast=FALSE) Query: UPDATE [sids] SET "AREA"=0.114, "PERIMETER"=1.442, "CNTY_"=1825, "CNTY_ID"=1825, "FIPS"='37009', "FIPSNO"=37009, "CRESS_ID"=5, "BIR74"=1091, "SID74"=1, "NWBIR74"=10, "BIR79"=1364, "SID79"=0, "NWBIR79"=19 WHERE "NAME"='Ashe' Query: UPDATE [sids] SET "AREA"=0.061, "PERIMETER"=1.231, "CNTY_"=1827, "CNTY_ID"=1827, "FIPS"='37005', "FIPSNO"=37005, "CRESS_ID"=3, "BIR74"= 487, "SID74"=0, "NWBIR74"=10, "BIR79"= 542, "SID79"=3, "NWBIR79"=12 WHERE "NAME"='Alleghany' > close(channel) > > channel <- odbcConnectDbase("sids.dbf", case="toupper") > sqlDrop(channel, "HILLS 2", errors=FALSE) > sqlSave(channel, hills, "HILLS 2", verbose=TRUE) Query: CREATE TABLE [HILLS 2] ("rownames" Char(254), "DIST" Numeric, "CLIMB" Numeric, "TIME" Numeric) Query: INSERT INTO [HILLS 2] ( "ROWNAMES", "DIST", "CLIMB", "TIME" ) VALUES ( ?,?,?,? ) Binding: 'ROWNAMES' DataType 12, ColSize 254 Binding: 'DIST' DataType 8, ColSize 53 Binding: 'CLIMB' DataType 8, ColSize 53 Binding: 'TIME' DataType 8, ColSize 53 Parameters: no: 1: ROWNAMES Greenmantle/***/no: 2: DIST 2.5/***/no: 3: CLIMB 650/***/no: 4: TIME 16.083/***/ no: 1: ROWNAMES Carnethy/***/no: 2: DIST 6/***/no: 3: CLIMB 2500/***/no: 4: TIME 48.35/***/ no: 1: ROWNAMES Craig Dunain/***/no: 2: DIST 6/***/no: 3: CLIMB 900/***/no: 4: TIME 33.65/***/ no: 1: ROWNAMES Ben Rha/***/no: 2: DIST 7.5/***/no: 3: CLIMB 800/***/no: 4: TIME 45.6/***/ no: 1: ROWNAMES Ben Lomond/***/no: 2: DIST 8/***/no: 3: CLIMB 3070/***/no: 4: TIME 62.267/***/ no: 1: ROWNAMES Goatfell/***/no: 2: DIST 8/***/no: 3: CLIMB 2866/***/no: 4: TIME 73.217/***/ no: 1: ROWNAMES Bens of Jura/***/no: 2: DIST 16/***/no: 3: CLIMB 7500/***/no: 4: TIME 204.617/***/ no: 1: ROWNAMES Cairnpapple/***/no: 2: DIST 6/***/no: 3: CLIMB 800/***/no: 4: TIME 36.367/***/ no: 1: ROWNAMES Scolty/***/no: 2: DIST 5/***/no: 3: CLIMB 800/***/no: 4: TIME 29.75/***/ no: 1: ROWNAMES Traprain/***/no: 2: DIST 6/***/no: 3: CLIMB 650/***/no: 4: TIME 39.75/***/ no: 1: ROWNAMES Lairig Ghru/***/no: 2: DIST 28/***/no: 3: CLIMB 2100/***/no: 4: TIME 192.667/***/ no: 1: ROWNAMES Dollar ('$')/***/no: 2: DIST 5/***/no: 3: CLIMB 2000/***/no: 4: TIME 43.05/***/ no: 1: ROWNAMES Lomonds/***/no: 2: DIST 9.5/***/no: 3: CLIMB 2200/***/no: 4: TIME 65/***/ no: 1: ROWNAMES Cairn Table/***/no: 2: DIST 6/***/no: 3: CLIMB 500/***/no: 4: TIME 44.133/***/ no: 1: ROWNAMES Eildon Two/***/no: 2: DIST 4.5/***/no: 3: CLIMB 1500/***/no: 4: TIME 26.933/***/ > sqlUpdate(channel, hills[11:15,], "HILLS 2", verbose=TRUE) Query: UPDATE [HILLS 2] SET "DIST"=?, "CLIMB"=?, "TIME"=? WHERE "ROWNAMES"=? Binding: 'DIST' DataType 8, ColSize 53 Binding: 'CLIMB' DataType 8, ColSize 53 Binding: 'TIME' DataType 8, ColSize 53 Binding: 'ROWNAMES' DataType 12, ColSize 254 Parameters: no: 1: DIST 28/***/no: 2: CLIMB 2100/***/no: 3: TIME 192.667/***/no: 4: ROWNAMES Lairig Ghru/***/ no: 1: DIST 5/***/no: 2: CLIMB 2000/***/no: 3: TIME 43.05/***/no: 4: ROWNAMES Dollar ('$')/***/ no: 1: DIST 9.5/***/no: 2: CLIMB 2200/***/no: 3: TIME 65/***/no: 4: ROWNAMES Lomonds/***/ no: 1: DIST 6/***/no: 2: CLIMB 500/***/no: 3: TIME 44.133/***/no: 4: ROWNAMES Cairn Table/***/ no: 1: DIST 4.5/***/no: 2: CLIMB 1500/***/no: 3: TIME 26.933/***/no: 4: ROWNAMES Eildon Two/***/ > sqlDrop(channel, "HILLS 2") > close(channel) > > > # Excel 2003 > channel <- odbcConnectExcel("hills.xls") > ## list the spreadsheets and marked ranges > sqlTables(channel) TABLE_CAT TABLE_SCHEM TABLE_NAME TABLE_TYPE 1 d:\\R\\svn\\Rpkgs\\RODBC\\tests\\hills hills$ SYSTEM TABLE 2 d:\\R\\svn\\Rpkgs\\RODBC\\tests\\hills women$ SYSTEM TABLE 3 d:\\R\\svn\\Rpkgs\\RODBC\\tests\\hills women TABLE REMARKS 1 2 3 > sqlColumns(channel, "hills") TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME 1 d:\\R\\svn\\Rpkgs\\RODBC\\tests\\hills hills$ dist 2 d:\\R\\svn\\Rpkgs\\RODBC\\tests\\hills hills$ climb 3 d:\\R\\svn\\Rpkgs\\RODBC\\tests\\hills hills$ ttime DATA_TYPE TYPE_NAME COLUMN_SIZE BUFFER_LENGTH DECIMAL_DIGITS NUM_PREC_RADIX 1 8 NUMBER 53 8 NA 2 2 8 NUMBER 53 8 NA 2 3 8 NUMBER 53 8 NA 2 NULLABLE REMARKS COLUMN_DEF SQL_DATA_TYPE SQL_DATETIME_SUB CHAR_OCTET_LENGTH 1 1 8 NA NA 2 1 8 NA NA 3 1 8 NA NA ORDINAL_POSITION IS_NULLABLE ORDINAL 1 1 YES 1 2 2 YES 2 3 3 YES 3 > ## two ways to retrieve the contents of hills > sqlFetch(channel, "hills") dist climb ttime 1 2.5 650 16.083 2 6.0 2500 48.350 3 6.0 900 33.650 4 7.5 800 45.600 5 8.0 3070 62.267 6 8.0 2866 73.217 7 16.0 7500 204.617 8 6.0 800 36.367 9 5.0 800 29.750 10 6.0 650 39.750 11 28.0 2100 192.667 12 5.0 2000 43.050 13 9.5 2200 65.000 14 6.0 500 44.133 15 4.5 1500 26.933 16 10.0 3000 72.250 17 14.0 2200 98.417 18 3.0 350 78.650 19 4.5 1000 17.417 20 5.5 600 32.567 21 3.0 300 15.950 22 3.5 1500 27.900 23 6.0 2200 47.633 24 2.0 900 17.933 25 3.0 600 18.683 26 4.0 2000 26.217 27 6.0 800 34.433 28 5.0 950 28.567 29 6.5 1750 50.500 30 5.0 500 20.950 31 10.0 4400 85.583 32 6.0 600 32.383 33 18.0 5200 170.250 34 4.5 850 28.100 35 20.0 5000 159.833 > sqlQuery(channel, "select * from [hills$]") dist climb ttime 1 2.5 650 16.083 2 6.0 2500 48.350 3 6.0 900 33.650 4 7.5 800 45.600 5 8.0 3070 62.267 6 8.0 2866 73.217 7 16.0 7500 204.617 8 6.0 800 36.367 9 5.0 800 29.750 10 6.0 650 39.750 11 28.0 2100 192.667 12 5.0 2000 43.050 13 9.5 2200 65.000 14 6.0 500 44.133 15 4.5 1500 26.933 16 10.0 3000 72.250 17 14.0 2200 98.417 18 3.0 350 78.650 19 4.5 1000 17.417 20 5.5 600 32.567 21 3.0 300 15.950 22 3.5 1500 27.900 23 6.0 2200 47.633 24 2.0 900 17.933 25 3.0 600 18.683 26 4.0 2000 26.217 27 6.0 800 34.433 28 5.0 950 28.567 29 6.5 1750 50.500 30 5.0 500 20.950 31 10.0 4400 85.583 32 6.0 600 32.383 33 18.0 5200 170.250 34 4.5 850 28.100 35 20.0 5000 159.833 > > sqlFetch(channel, "women") height weight 1 58 115 2 59 117 3 60 120 4 61 123 5 62 126 6 63 129 7 64 132 8 65 135 9 66 139 10 67 142 11 68 146 12 69 150 13 70 154 14 71 159 15 72 164 > close(channel) > > # The Excel driver maps ' ' to '_'. > channel <- odbcConnectExcel("hills.xls", readOnly=FALSE) > sqlSave(channel, hills, "hills_test", verbose=TRUE, fast=FALSE) Query: CREATE TABLE [hills_test] ("rownames" VARCHAR(255), "dist" NUMBER, "climb" NUMBER, "time" NUMBER) Query: INSERT INTO [hills_test] ( "rownames", "dist", "climb", "time" ) VALUES ( 'Greenmantle', 2.5, 650, 16.083 ) Query: INSERT INTO [hills_test] ( "rownames", "dist", "climb", "time" ) VALUES ( 'Carnethy', 6.0, 2500, 48.350 ) Query: INSERT INTO [hills_test] ( "rownames", "dist", "climb", "time" ) VALUES ( 'Craig Dunain', 6.0, 900, 33.650 ) Query: INSERT INTO [hills_test] ( "rownames", "dist", "climb", "time" ) VALUES ( 'Ben Rha', 7.5, 800, 45.600 ) Query: INSERT INTO [hills_test] ( "rownames", "dist", "climb", "time" ) VALUES ( 'Ben Lomond', 8.0, 3070, 62.267 ) Query: INSERT INTO [hills_test] ( "rownames", "dist", "climb", "time" ) VALUES ( 'Goatfell', 8.0, 2866, 73.217 ) Query: INSERT INTO [hills_test] ( "rownames", "dist", "climb", "time" ) VALUES ( 'Bens of Jura', 16.0, 7500, 204.617 ) Query: INSERT INTO [hills_test] ( "rownames", "dist", "climb", "time" ) VALUES ( 'Cairnpapple', 6.0, 800, 36.367 ) Query: INSERT INTO [hills_test] ( "rownames", "dist", "climb", "time" ) VALUES ( 'Scolty', 5.0, 800, 29.750 ) Query: INSERT INTO [hills_test] ( "rownames", "dist", "climb", "time" ) VALUES ( 'Traprain', 6.0, 650, 39.750 ) Query: INSERT INTO [hills_test] ( "rownames", "dist", "climb", "time" ) VALUES ( 'Lairig Ghru', 28.0, 2100, 192.667 ) Query: INSERT INTO [hills_test] ( "rownames", "dist", "climb", "time" ) VALUES ( 'Dollar (''$'')', 5.0, 2000, 43.050 ) Query: INSERT INTO [hills_test] ( "rownames", "dist", "climb", "time" ) VALUES ( 'Lomonds', 9.5, 2200, 65.000 ) Query: INSERT INTO [hills_test] ( "rownames", "dist", "climb", "time" ) VALUES ( 'Cairn Table', 6.0, 500, 44.133 ) Query: INSERT INTO [hills_test] ( "rownames", "dist", "climb", "time" ) VALUES ( 'Eildon Two', 4.5, 1500, 26.933 ) > sqlUpdate(channel, hills[11:15,], "hills_test", verbose=TRUE, fast=FALSE) Query: UPDATE [hills_test] SET "dist"=28.0, "climb"=2100, "time"=192.667 WHERE "rownames"='Lairig Ghru' Query: UPDATE [hills_test] SET "dist"= 5.0, "climb"=2000, "time"= 43.050 WHERE "rownames"='Dollar (''$'')' Query: UPDATE [hills_test] SET "dist"= 9.5, "climb"=2200, "time"= 65.000 WHERE "rownames"='Lomonds' Query: UPDATE [hills_test] SET "dist"= 6.0, "climb"= 500, "time"= 44.133 WHERE "rownames"='Cairn Table' Query: UPDATE [hills_test] SET "dist"= 4.5, "climb"=1500, "time"= 26.933 WHERE "rownames"='Eildon Two' > sqlFetch(channel, "hills_test") dist climb time Greenmantle 2.5 650 16.083 Carnethy 6.0 2500 48.350 Craig Dunain 6.0 900 33.650 Ben Rha 7.5 800 45.600 Ben Lomond 8.0 3070 62.267 Goatfell 8.0 2866 73.217 Bens of Jura 16.0 7500 204.617 Cairnpapple 6.0 800 36.367 Scolty 5.0 800 29.750 Traprain 6.0 650 39.750 Lairig Ghru 28.0 2100 192.667 Dollar ('$') 5.0 2000 43.050 Lomonds 9.5 2200 65.000 Cairn Table 6.0 500 44.133 Eildon Two 4.5 1500 26.933 > sqlSave(channel, hills, "hills_test2", verbose=TRUE) Query: CREATE TABLE [hills_test2] ("rownames" VARCHAR(255), "dist" NUMBER, "climb" NUMBER, "time" NUMBER) Query: INSERT INTO [hills_test2] ( "rownames", "dist", "climb", "time" ) VALUES ( ?,?,?,? ) Binding: 'rownames' DataType 12, ColSize 255 Binding: 'dist' DataType 8, ColSize 53 Binding: 'climb' DataType 8, ColSize 53 Binding: 'time' DataType 8, ColSize 53 Parameters: no: 1: rownames Greenmantle/***/no: 2: dist 2.5/***/no: 3: climb 650/***/no: 4: time 16.083/***/ no: 1: rownames Carnethy/***/no: 2: dist 6/***/no: 3: climb 2500/***/no: 4: time 48.35/***/ no: 1: rownames Craig Dunain/***/no: 2: dist 6/***/no: 3: climb 900/***/no: 4: time 33.65/***/ no: 1: rownames Ben Rha/***/no: 2: dist 7.5/***/no: 3: climb 800/***/no: 4: time 45.6/***/ no: 1: rownames Ben Lomond/***/no: 2: dist 8/***/no: 3: climb 3070/***/no: 4: time 62.267/***/ no: 1: rownames Goatfell/***/no: 2: dist 8/***/no: 3: climb 2866/***/no: 4: time 73.217/***/ no: 1: rownames Bens of Jura/***/no: 2: dist 16/***/no: 3: climb 7500/***/no: 4: time 204.617/***/ no: 1: rownames Cairnpapple/***/no: 2: dist 6/***/no: 3: climb 800/***/no: 4: time 36.367/***/ no: 1: rownames Scolty/***/no: 2: dist 5/***/no: 3: climb 800/***/no: 4: time 29.75/***/ no: 1: rownames Traprain/***/no: 2: dist 6/***/no: 3: climb 650/***/no: 4: time 39.75/***/ no: 1: rownames Lairig Ghru/***/no: 2: dist 28/***/no: 3: climb 2100/***/no: 4: time 192.667/***/ no: 1: rownames Dollar ('$')/***/no: 2: dist 5/***/no: 3: climb 2000/***/no: 4: time 43.05/***/ no: 1: rownames Lomonds/***/no: 2: dist 9.5/***/no: 3: climb 2200/***/no: 4: time 65/***/ no: 1: rownames Cairn Table/***/no: 2: dist 6/***/no: 3: climb 500/***/no: 4: time 44.133/***/ no: 1: rownames Eildon Two/***/no: 2: dist 4.5/***/no: 3: climb 1500/***/no: 4: time 26.933/***/ > sqlUpdate(channel, hills[11:15,], "hills_test2", verbose=TRUE) Query: UPDATE [hills_test2] SET "dist"=?, "climb"=?, "time"=? WHERE "rownames"=? Binding: 'dist' DataType 8, ColSize 53 Binding: 'climb' DataType 8, ColSize 53 Binding: 'time' DataType 8, ColSize 53 Binding: 'rownames' DataType 12, ColSize 255 Parameters: no: 1: dist 28/***/no: 2: climb 2100/***/no: 3: time 192.667/***/no: 4: rownames Lairig Ghru/***/ no: 1: dist 5/***/no: 2: climb 2000/***/no: 3: time 43.05/***/no: 4: rownames Dollar ('$')/***/ no: 1: dist 9.5/***/no: 2: climb 2200/***/no: 3: time 65/***/no: 4: rownames Lomonds/***/ no: 1: dist 6/***/no: 2: climb 500/***/no: 3: time 44.133/***/no: 4: rownames Cairn Table/***/ no: 1: dist 4.5/***/no: 2: climb 1500/***/no: 3: time 26.933/***/no: 4: rownames Eildon Two/***/ > sqlFetch(channel, "hills_test2") dist climb time Greenmantle 2.5 650 16.083 Carnethy 6.0 2500 48.350 Craig Dunain 6.0 900 33.650 Ben Rha 7.5 800 45.600 Ben Lomond 8.0 3070 62.267 Goatfell 8.0 2866 73.217 Bens of Jura 16.0 7500 204.617 Cairnpapple 6.0 800 36.367 Scolty 5.0 800 29.750 Traprain 6.0 650 39.750 Lairig Ghru 28.0 2100 192.667 Dollar ('$') 5.0 2000 43.050 Lomonds 9.5 2200 65.000 Cairn Table 6.0 500 44.133 Eildon Two 4.5 1500 26.933 > close(channel) RODBC/tests/Notes0000644000176000001440000000115211754561777013333 0ustar ripleyusersThese tests are intended to be run as-is only on BDR's machines. Others will need to set up suitable DSNs or change the scripts to point to existing DSNs. They will only be run by R CMD check if RODBC_TESTING is set. I don't currently run MySQL as a service on Windows, so it is started by d:/packages/mysql/bin/mysqld --standalone & PostgreSQL, SQL Server, Oracle, DB2 and Mimer run as services, but may need to be started. The shell used to run these tests must have the Oracle binaries (e:/Oracle/bin) in the path. The Oracle and Mimer tests need DB_PWD set. sqlite3 worked with sqliteodbc 0.83 but not 0.91. RODBC/tests/mysql.Rout.save0000644000176000001440000006103011754561777015276 0ustar ripleyusers R version 2.10.0 Under development (unstable) (2009-07-16 r48939) Copyright (C) 2009 The R Foundation for Statistical Computing ISBN 3-900051-07-0 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > ##-*- R -*- > library(RODBC) > library(MASS) > USArrests[1,2] <- NA > hills <- hills[1:15,] > row.names(hills)[12] <- "Dollar ('$')" > set.seed(1) > > channel <- odbcConnect("test") > if(!inherits(channel, "RODBC")) q("no") > sqlTables(channel) [1] TABLE_CAT TABLE_SCHEM TABLE_NAME TABLE_TYPE REMARKS <0 rows> (or 0-length row.names) > sqlDrop(channel, "USArrests", errors = FALSE) > sqlSave(channel, USArrests, rownames = "State", addPK = TRUE) > sqlTables(channel) TABLE_CAT TABLE_SCHEM TABLE_NAME TABLE_TYPE REMARKS 1 ripley USArrests TABLE > sqlColumns(channel, "USArrests") TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME COLUMN_SIZE 1 ripley USArrests State 12 varchar 255 2 ripley USArrests Murder 8 double 15 3 ripley USArrests Assault 4 integer 10 4 ripley USArrests UrbanPop 4 integer 10 5 ripley USArrests Rape 8 double 15 BUFFER_LENGTH DECIMAL_DIGITS NUM_PREC_RADIX NULLABLE REMARKS COLUMN_DEF 1 255 NA NA 0 '' 2 8 NA NA 1 3 4 0 10 1 4 4 0 10 1 5 8 NA NA 1 SQL_DATA_TYPE SQL_DATETIME_SUB CHAR_OCTET_LENGTH ORDINAL_POSITION IS_NULLABLE 1 12 NA 255 1 NO 2 8 NA NA 2 YES 3 4 NA NA 3 YES 4 4 NA NA 4 YES 5 8 NA NA 5 YES > sqlColumns(channel, "USArrests", special = TRUE) SCOPE COLUMN_NAME DATA_TYPE TYPE_NAME COLUMN_SIZE BUFFER_LENGTH 1 2 State 12 varchar 255 255 DECIMAL_DIGITS PSEUDO_COLUMN 1 NA 1 > sqlPrimaryKeys(channel, "USArrests") TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME KEY_SEQ PK_NAME 1 USArrests State 1 PRIMARY > sqlFetch(channel, "USArrests", rownames = "State") Murder Assault UrbanPop Rape Alabama 13.2 NA 58 21.2 Alaska 10.0 263 48 44.5 Arizona 8.1 294 80 31.0 Arkansas 8.8 190 50 19.5 California 9.0 276 91 40.6 Colorado 7.9 204 78 38.7 Connecticut 3.3 110 77 11.1 Delaware 5.9 238 72 15.8 Florida 15.4 335 80 31.9 Georgia 17.4 211 60 25.8 Hawaii 5.3 46 83 20.2 Idaho 2.6 120 54 14.2 Illinois 10.4 249 83 24.0 Indiana 7.2 113 65 21.0 Iowa 2.2 56 57 11.3 Kansas 6.0 115 66 18.0 Kentucky 9.7 109 52 16.3 Louisiana 15.4 249 66 22.2 Maine 2.1 83 51 7.8 Maryland 11.3 300 67 27.8 Massachusetts 4.4 149 85 16.3 Michigan 12.1 255 74 35.1 Minnesota 2.7 72 66 14.9 Mississippi 16.1 259 44 17.1 Missouri 9.0 178 70 28.2 Montana 6.0 109 53 16.4 Nebraska 4.3 102 62 16.5 Nevada 12.2 252 81 46.0 New Hampshire 2.1 57 56 9.5 New Jersey 7.4 159 89 18.8 New Mexico 11.4 285 70 32.1 New York 11.1 254 86 26.1 North Carolina 13.0 337 45 16.1 North Dakota 0.8 45 44 7.3 Ohio 7.3 120 75 21.4 Oklahoma 6.6 151 68 20.0 Oregon 4.9 159 67 29.3 Pennsylvania 6.3 106 72 14.9 Rhode Island 3.4 174 87 8.3 South Carolina 14.4 279 48 22.5 South Dakota 3.8 86 45 12.8 Tennessee 13.2 188 59 26.9 Texas 12.7 201 80 25.5 Utah 3.2 120 80 22.9 Vermont 2.2 48 32 11.2 Virginia 8.5 156 63 20.7 Washington 4.0 145 73 26.2 West Virginia 5.7 81 39 9.3 Wisconsin 2.6 53 66 10.8 Wyoming 6.8 161 60 15.6 > sqlQuery(channel, "select State, Murder from USArrests where Rape > 30 order by Murder") State Murder 1 Colorado 7.9 2 Arizona 8.1 3 California 9.0 4 Alaska 10.0 5 New Mexico 11.4 6 Michigan 12.1 7 Nevada 12.2 8 Florida 15.4 > foo <- cbind(State=row.names(USArrests), USArrests)[1:3, c(1,3)] > foo[1,2] <- 236 > sqlUpdate(channel, foo, "USArrests") > sqlFetch(channel, "USArrests", rownames = "State", max = 5) Murder Assault UrbanPop Rape Alabama 13.2 236 58 21.2 Alaska 10.0 263 48 44.5 Arizona 8.1 294 80 31.0 Arkansas 8.8 190 50 19.5 California 9.0 276 91 40.6 > sqlFetchMore(channel, rownames = "State", max = 8) Murder Assault UrbanPop Rape Colorado 7.9 204 78 38.7 Connecticut 3.3 110 77 11.1 Delaware 5.9 238 72 15.8 Florida 15.4 335 80 31.9 Georgia 17.4 211 60 25.8 Hawaii 5.3 46 83 20.2 Idaho 2.6 120 54 14.2 Illinois 10.4 249 83 24.0 > sqlDrop(channel, "USArrests") > > Btest <- Atest <- + data.frame(x = c(paste(1:100, collapse="+"), letters[2:4]), rn=1:4) > Btest[,1] <- Atest[c(4,1:3),1] > sqlDrop(channel, "Atest", errors = FALSE) > colspec <- list(character="text", double="double", + integer="integer", logical="varchar(5)") > sqlSave(channel, Atest, typeInfo = colspec) > sqlColumns(channel, "Atest") TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME COLUMN_SIZE 1 ripley Atest rownames -1 text 65535 2 ripley Atest x -1 text 65535 3 ripley Atest rn 4 integer 10 BUFFER_LENGTH DECIMAL_DIGITS NUM_PREC_RADIX NULLABLE REMARKS COLUMN_DEF 1 65535 NA NA 1 2 65535 NA NA 1 3 4 0 10 1 SQL_DATA_TYPE SQL_DATETIME_SUB CHAR_OCTET_LENGTH ORDINAL_POSITION IS_NULLABLE 1 -1 NA 65535 1 YES 2 -1 NA 65535 2 YES 3 4 NA NA 3 YES > sqlFetch(channel, "Atest") x 1 1+2+3+4+5+6+7+8+9+10+11+12+13+14+15+16+17+18+19+20+21+22+23+24+25+26+27+28+29+30+31+32+33+34+35+36+37+38+39+40+41+42+43+44+45+46+47+48+49+50+51+52+53+54+55+56+57+58+59+60+61+62+63+64+65+66+67+68+69+70+71+72+73+74+75+76+77+78+79+80+81+82+83+84+85+86+87+88+89+90+91+92+93+94+95+96+97+98+99+100 2 b 3 c 4 d rn 1 1 2 2 3 3 4 4 > sqlUpdate(channel, Btest, "Atest", index = "rn") > sqlFetch(channel, "Atest") x 1 d 2 1+2+3+4+5+6+7+8+9+10+11+12+13+14+15+16+17+18+19+20+21+22+23+24+25+26+27+28+29+30+31+32+33+34+35+36+37+38+39+40+41+42+43+44+45+46+47+48+49+50+51+52+53+54+55+56+57+58+59+60+61+62+63+64+65+66+67+68+69+70+71+72+73+74+75+76+77+78+79+80+81+82+83+84+85+86+87+88+89+90+91+92+93+94+95+96+97+98+99+100 3 b 4 c rn 1 1 2 2 3 3 4 4 > sqlDrop(channel, "Atest") > varspec <- "text"; names(varspec) <- "x" > sqlSave(channel, Atest, varTypes = varspec) > sqlColumns(channel, "Atest") TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME COLUMN_SIZE 1 ripley Atest rownames 12 varchar 255 2 ripley Atest x -1 text 65535 3 ripley Atest rn 4 integer 10 BUFFER_LENGTH DECIMAL_DIGITS NUM_PREC_RADIX NULLABLE REMARKS COLUMN_DEF 1 255 NA NA 1 2 65535 NA NA 1 3 4 0 10 1 SQL_DATA_TYPE SQL_DATETIME_SUB CHAR_OCTET_LENGTH ORDINAL_POSITION IS_NULLABLE 1 12 NA 255 1 YES 2 -1 NA 65535 2 YES 3 4 NA NA 3 YES > sqlFetch(channel, "Atest") x 1 1+2+3+4+5+6+7+8+9+10+11+12+13+14+15+16+17+18+19+20+21+22+23+24+25+26+27+28+29+30+31+32+33+34+35+36+37+38+39+40+41+42+43+44+45+46+47+48+49+50+51+52+53+54+55+56+57+58+59+60+61+62+63+64+65+66+67+68+69+70+71+72+73+74+75+76+77+78+79+80+81+82+83+84+85+86+87+88+89+90+91+92+93+94+95+96+97+98+99+100 2 b 3 c 4 d rn 1 1 2 2 3 3 4 4 > sqlDrop(channel, "Atest") > > dates <- as.character(seq(as.Date("2004-01-01"), by="week", length=10)) > times <- paste(1:10, "05", "00", sep=":") > dt <- as.POSIXct(paste(dates, times)) > Dtest <- data.frame(dates, times, dt, logi=c(TRUE, NA, FALSE, FALSE, FALSE)) > varspec <- c("date", "time", "timestamp", "varchar(5)") > names(varspec) <- names(Dtest) > sqlDrop(channel, "Dtest", errors = FALSE) > sqlSave(channel, Dtest, varTypes = varspec) > sqlColumns(channel, "Dtest") TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME COLUMN_SIZE 1 ripley Dtest rownames 12 varchar 255 2 ripley Dtest dates 91 date 10 3 ripley Dtest times 92 time 8 4 ripley Dtest dt 93 timestamp 19 5 ripley Dtest logi 12 varchar 5 BUFFER_LENGTH DECIMAL_DIGITS NUM_PREC_RADIX NULLABLE REMARKS COLUMN_DEF 1 255 NA NA 1 2 6 NA NA 1 3 6 0 10 1 4 16 0 10 1 5 5 NA NA 1 SQL_DATA_TYPE SQL_DATETIME_SUB CHAR_OCTET_LENGTH ORDINAL_POSITION IS_NULLABLE 1 12 NA 255 1 YES 2 9 91 NA 2 YES 3 9 92 NA 3 YES 4 9 93 NA 4 YES 5 12 NA 5 5 YES > sqlFetch(channel, "Dtest") dates times dt logi 1 2004-01-01 01:05:00 2004-01-01 01:05:00 TRUE 2 2004-01-08 02:05:00 2004-01-08 02:05:00 NA 3 2004-01-15 03:05:00 2004-01-15 03:05:00 FALSE 4 2004-01-22 04:05:00 2004-01-22 04:05:00 FALSE 5 2004-01-29 05:05:00 2004-01-29 05:05:00 FALSE 6 2004-02-05 06:05:00 2004-02-05 06:05:00 TRUE 7 2004-02-12 07:05:00 2004-02-12 07:05:00 NA 8 2004-02-19 08:05:00 2004-02-19 08:05:00 FALSE 9 2004-02-26 09:05:00 2004-02-26 09:05:00 FALSE 10 2004-03-04 10:05:00 2004-03-04 10:05:00 FALSE > sqlDrop(channel, "Dtest", errors = FALSE) > sqlSave(channel, Dtest, varTypes = varspec, fast = FALSE) > sqlColumns(channel, "Dtest") TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME COLUMN_SIZE 1 ripley Dtest rownames 12 varchar 255 2 ripley Dtest dates 91 date 10 3 ripley Dtest times 92 time 8 4 ripley Dtest dt 93 timestamp 19 5 ripley Dtest logi 12 varchar 5 BUFFER_LENGTH DECIMAL_DIGITS NUM_PREC_RADIX NULLABLE REMARKS COLUMN_DEF 1 255 NA NA 1 2 6 NA NA 1 3 6 0 10 1 4 16 0 10 1 5 5 NA NA 1 SQL_DATA_TYPE SQL_DATETIME_SUB CHAR_OCTET_LENGTH ORDINAL_POSITION IS_NULLABLE 1 12 NA 255 1 YES 2 9 91 NA 2 YES 3 9 92 NA 3 YES 4 9 93 NA 4 YES 5 12 NA 5 5 YES > sqlFetch(channel, "Dtest") dates times dt logi 1 2004-01-01 01:05:00 2004-01-01 01:05:00 TRUE 2 2004-01-08 02:05:00 2004-01-08 02:05:00 NA 3 2004-01-15 03:05:00 2004-01-15 03:05:00 FALSE 4 2004-01-22 04:05:00 2004-01-22 04:05:00 FALSE 5 2004-01-29 05:05:00 2004-01-29 05:05:00 FALSE 6 2004-02-05 06:05:00 2004-02-05 06:05:00 TRUE 7 2004-02-12 07:05:00 2004-02-12 07:05:00 NA 8 2004-02-19 08:05:00 2004-02-19 08:05:00 FALSE 9 2004-02-26 09:05:00 2004-02-26 09:05:00 FALSE 10 2004-03-04 10:05:00 2004-03-04 10:05:00 FALSE > sqlDrop(channel, "Dtest") > > sqlDrop(channel, "hills test", errors = FALSE) > sqlSave(channel, hills, "hills test", verbose=TRUE) Query: CREATE TABLE `hills test` (`rownames` varchar(255), `dist` double, `climb` integer, `time` double) Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( ?,?,?,? ) Binding: 'rownames' DataType 12, ColSize 255 Binding: 'dist' DataType 8, ColSize 15 Binding: 'climb' DataType 4, ColSize 10 Binding: 'time' DataType 8, ColSize 15 Parameters: no: 1: rownames Greenmantle/***/no: 2: dist 2.5/***/no: 3: climb 650/***/no: 4: time 16.083/***/ no: 1: rownames Carnethy/***/no: 2: dist 6/***/no: 3: climb 2500/***/no: 4: time 48.35/***/ no: 1: rownames Craig Dunain/***/no: 2: dist 6/***/no: 3: climb 900/***/no: 4: time 33.65/***/ no: 1: rownames Ben Rha/***/no: 2: dist 7.5/***/no: 3: climb 800/***/no: 4: time 45.6/***/ no: 1: rownames Ben Lomond/***/no: 2: dist 8/***/no: 3: climb 3070/***/no: 4: time 62.267/***/ no: 1: rownames Goatfell/***/no: 2: dist 8/***/no: 3: climb 2866/***/no: 4: time 73.217/***/ no: 1: rownames Bens of Jura/***/no: 2: dist 16/***/no: 3: climb 7500/***/no: 4: time 204.617/***/ no: 1: rownames Cairnpapple/***/no: 2: dist 6/***/no: 3: climb 800/***/no: 4: time 36.367/***/ no: 1: rownames Scolty/***/no: 2: dist 5/***/no: 3: climb 800/***/no: 4: time 29.75/***/ no: 1: rownames Traprain/***/no: 2: dist 6/***/no: 3: climb 650/***/no: 4: time 39.75/***/ no: 1: rownames Lairig Ghru/***/no: 2: dist 28/***/no: 3: climb 2100/***/no: 4: time 192.667/***/ no: 1: rownames Dollar ('$')/***/no: 2: dist 5/***/no: 3: climb 2000/***/no: 4: time 43.05/***/ no: 1: rownames Lomonds/***/no: 2: dist 9.5/***/no: 3: climb 2200/***/no: 4: time 65/***/ no: 1: rownames Cairn Table/***/no: 2: dist 6/***/no: 3: climb 500/***/no: 4: time 44.133/***/ no: 1: rownames Eildon Two/***/no: 2: dist 4.5/***/no: 3: climb 1500/***/no: 4: time 26.933/***/ > sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=TRUE) Query: UPDATE `hills test` SET `dist`=?, `climb`=?, `time`=? WHERE `rownames`=? Binding: 'dist' DataType 8, ColSize 15 Binding: 'climb' DataType 4, ColSize 10 Binding: 'time' DataType 8, ColSize 15 Binding: 'rownames' DataType 12, ColSize 255 Parameters: no: 1: dist 28/***/no: 2: climb 2100/***/no: 3: time 192.667/***/no: 4: rownames Lairig Ghru/***/ no: 1: dist 5/***/no: 2: climb 2000/***/no: 3: time 43.05/***/no: 4: rownames Dollar ('$')/***/ no: 1: dist 9.5/***/no: 2: climb 2200/***/no: 3: time 65/***/no: 4: rownames Lomonds/***/ no: 1: dist 6/***/no: 2: climb 500/***/no: 3: time 44.133/***/no: 4: rownames Cairn Table/***/ no: 1: dist 4.5/***/no: 2: climb 1500/***/no: 3: time 26.933/***/no: 4: rownames Eildon Two/***/ > sqlFetch(channel, "hills test") dist climb time Greenmantle 2.5 650 16.083 Carnethy 6.0 2500 48.350 Craig Dunain 6.0 900 33.650 Ben Rha 7.5 800 45.600 Ben Lomond 8.0 3070 62.267 Goatfell 8.0 2866 73.217 Bens of Jura 16.0 7500 204.617 Cairnpapple 6.0 800 36.367 Scolty 5.0 800 29.750 Traprain 6.0 650 39.750 Lairig Ghru 28.0 2100 192.667 Dollar ('$') 5.0 2000 43.050 Lomonds 9.5 2200 65.000 Cairn Table 6.0 500 44.133 Eildon Two 4.5 1500 26.933 > sqlDrop(channel, "hills test") > sqlSave(channel, hills, "hills test", verbose=TRUE, fast=FALSE) Query: CREATE TABLE `hills test` (`rownames` varchar(255), `dist` double, `climb` integer, `time` double) Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( 'Greenmantle', 2.5, 650, 16.083 ) Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( 'Carnethy', 6.0, 2500, 48.350 ) Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( 'Craig Dunain', 6.0, 900, 33.650 ) Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( 'Ben Rha', 7.5, 800, 45.600 ) Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( 'Ben Lomond', 8.0, 3070, 62.267 ) Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( 'Goatfell', 8.0, 2866, 73.217 ) Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( 'Bens of Jura', 16.0, 7500, 204.617 ) Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( 'Cairnpapple', 6.0, 800, 36.367 ) Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( 'Scolty', 5.0, 800, 29.750 ) Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( 'Traprain', 6.0, 650, 39.750 ) Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( 'Lairig Ghru', 28.0, 2100, 192.667 ) Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( 'Dollar (''$'')', 5.0, 2000, 43.050 ) Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( 'Lomonds', 9.5, 2200, 65.000 ) Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( 'Cairn Table', 6.0, 500, 44.133 ) Query: INSERT INTO `hills test` ( `rownames`, `dist`, `climb`, `time` ) VALUES ( 'Eildon Two', 4.5, 1500, 26.933 ) > sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=FALSE) Query: UPDATE `hills test` SET `dist`=28.0, `climb`=2100, `time`=192.667 WHERE `rownames`='Lairig Ghru' Query: UPDATE `hills test` SET `dist`= 5.0, `climb`=2000, `time`= 43.050 WHERE `rownames`='Dollar (''$'')' Query: UPDATE `hills test` SET `dist`= 9.5, `climb`=2200, `time`= 65.000 WHERE `rownames`='Lomonds' Query: UPDATE `hills test` SET `dist`= 6.0, `climb`= 500, `time`= 44.133 WHERE `rownames`='Cairn Table' Query: UPDATE `hills test` SET `dist`= 4.5, `climb`=1500, `time`= 26.933 WHERE `rownames`='Eildon Two' > sqlDrop(channel, "hills test") > > sqlTables(channel, catalog="%") TABLE_CAT TABLE_SCHEM TABLE_NAME TABLE_TYPE REMARKS 1 information_schema 2 mysql 3 ripley 4 test > sqlTables(channel, catalog="ripley") [1] TABLE_CAT TABLE_SCHEM TABLE_NAME TABLE_TYPE REMARKS <0 rows> (or 0-length row.names) > sqlTables(channel, catalog="test") TABLE_CAT TABLE_SCHEM TABLE_NAME TABLE_TYPE REMARKS 1 test A TABLE 2 test B TABLE 3 test D TABLE 4 test I TABLE 5 test M TABLE 6 test Meta TABLE 7 test Q TABLE 8 test S TABLE 9 test T TABLE 10 test U TABLE 11 test W TABLE > > close(channel) > RODBC/tests/SQLServer.Rout.save0000644000176000001440000007071011754561777015764 0ustar ripleyusers R version 2.9.1 Patched (2009-07-27 r49006) Copyright (C) 2009 The R Foundation for Statistical Computing ISBN 3-900051-07-0 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > ##-*- R -*- > library(RODBC) > library(MASS) > USArrests[1,2] <- NA > hills <- hills[1:15,] > row.names(hills)[12] <- "Dollar ('$')" > > # SQL Server 2008 Express Edition > channel <- odbcConnect("SQLServer") > if(!inherits(channel, "RODBC")) q("no") > # sqlTables(channel, schema="dbo") > sqlTables(channel, tableType="TABLE") [1] TABLE_CAT TABLE_SCHEM TABLE_NAME TABLE_TYPE REMARKS <0 rows> (or 0-length row.names) > sqlDrop(channel, "USArrests", errors = FALSE) > sqlSave(channel, USArrests, addPK = TRUE) > sqlTables(channel, tableType="TABLE") TABLE_CAT TABLE_SCHEM TABLE_NAME TABLE_TYPE REMARKS 1 tempdb dbo USArrests TABLE > sqlColumns(channel, "USArrests") TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME COLUMN_SIZE 1 tempdb dbo USArrests rownames 12 varchar 255 2 tempdb dbo USArrests Murder 6 float 53 3 tempdb dbo USArrests Assault 4 int 10 4 tempdb dbo USArrests UrbanPop 4 int 10 5 tempdb dbo USArrests Rape 6 float 53 BUFFER_LENGTH DECIMAL_DIGITS NUM_PREC_RADIX NULLABLE REMARKS COLUMN_DEF 1 255 NA NA 0 2 8 NA 2 1 3 4 0 10 1 4 4 0 10 1 5 8 NA 2 1 SQL_DATA_TYPE SQL_DATETIME_SUB CHAR_OCTET_LENGTH ORDINAL_POSITION IS_NULLABLE 1 12 NA 255 1 NO 2 6 NA NA 2 YES 3 4 NA NA 3 YES 4 4 NA NA 4 YES 5 6 NA NA 5 YES SS_UDT_CATALOG_NAME SS_UDT_SCHEMA_NAME SS_UDT_ASSEMBLY_TYPE_NAME 1 2 3 4 5 SS_XML_SCHEMACOLLECTION_CATALOG_NAME SS_XML_SCHEMACOLLECTION_SCHEMA_NAME 1 2 3 4 5 SS_XML_SCHEMACOLLECTION_NAME SS_DATA_TYPE 1 39 2 109 3 38 4 38 5 109 > sqlPrimaryKeys(channel, "USArrests") TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME KEY_SEQ 1 tempdb dbo USArrests rownames 1 PK_NAME 1 PK__USArrest__BAA0EDC303317E3D > sqlFetch(channel, "USArrests") Murder Assault UrbanPop Rape Alabama 13.2 NA 58 21.2 Alaska 10.0 263 48 44.5 Arizona 8.1 294 80 31.0 Arkansas 8.8 190 50 19.5 California 9.0 276 91 40.6 Colorado 7.9 204 78 38.7 Connecticut 3.3 110 77 11.1 Delaware 5.9 238 72 15.8 Florida 15.4 335 80 31.9 Georgia 17.4 211 60 25.8 Hawaii 5.3 46 83 20.2 Idaho 2.6 120 54 14.2 Illinois 10.4 249 83 24.0 Indiana 7.2 113 65 21.0 Iowa 2.2 56 57 11.3 Kansas 6.0 115 66 18.0 Kentucky 9.7 109 52 16.3 Louisiana 15.4 249 66 22.2 Maine 2.1 83 51 7.8 Maryland 11.3 300 67 27.8 Massachusetts 4.4 149 85 16.3 Michigan 12.1 255 74 35.1 Minnesota 2.7 72 66 14.9 Mississippi 16.1 259 44 17.1 Missouri 9.0 178 70 28.2 Montana 6.0 109 53 16.4 Nebraska 4.3 102 62 16.5 Nevada 12.2 252 81 46.0 New Hampshire 2.1 57 56 9.5 New Jersey 7.4 159 89 18.8 New Mexico 11.4 285 70 32.1 New York 11.1 254 86 26.1 North Carolina 13.0 337 45 16.1 North Dakota 0.8 45 44 7.3 Ohio 7.3 120 75 21.4 Oklahoma 6.6 151 68 20.0 Oregon 4.9 159 67 29.3 Pennsylvania 6.3 106 72 14.9 Rhode Island 3.4 174 87 8.3 South Carolina 14.4 279 48 22.5 South Dakota 3.8 86 45 12.8 Tennessee 13.2 188 59 26.9 Texas 12.7 201 80 25.5 Utah 3.2 120 80 22.9 Vermont 2.2 48 32 11.2 Virginia 8.5 156 63 20.7 Washington 4.0 145 73 26.2 West Virginia 5.7 81 39 9.3 Wisconsin 2.6 53 66 10.8 Wyoming 6.8 161 60 15.6 > query <- paste("select rownames, murder from USArrests", + "where Rape > 30", "order by Murder") > sqlQuery(channel, query) rownames murder 1 Colorado 7.9 2 Arizona 8.1 3 California 9.0 4 Alaska 10.0 5 New Mexico 11.4 6 Michigan 12.1 7 Nevada 12.2 8 Florida 15.4 > sqlCopy(channel, query, "HighRape", rownames = FALSE) > sqlFetch(channel, "HighRape", max = 5) murder Colorado 7.9 Arizona 8.1 California 9.0 Alaska 10.0 New Mexico 11.4 > # sqlTables(channel) > sqlDrop(channel, "HighRape") > foo <- USArrests[1:3, 2, drop = FALSE] > foo[1,1] <- 236 > sqlUpdate(channel, foo, "USArrests") > sqlFetch(channel, "USArrests", max = 5) Murder Assault UrbanPop Rape Alabama 13.2 236 58 21.2 Alaska 10.0 263 48 44.5 Arizona 8.1 294 80 31.0 Arkansas 8.8 190 50 19.5 California 9.0 276 91 40.6 > sqlFetchMore(channel, max = 8) Murder Assault UrbanPop Rape Colorado 7.9 204 78 38.7 Connecticut 3.3 110 77 11.1 Delaware 5.9 238 72 15.8 Florida 15.4 335 80 31.9 Georgia 17.4 211 60 25.8 Hawaii 5.3 46 83 20.2 Idaho 2.6 120 54 14.2 Illinois 10.4 249 83 24.0 > sqlDrop(channel, "USArrests") > > Btest <- Atest <- + data.frame(x = c(paste(1:100, collapse="+"), letters[2:4]), rn=1:4) > Btest[,1] <- Atest[c(4,1:3),1] > sqlDrop(channel, "Atest", errors = FALSE) > ## char and varchar max is 8000 > colspec <- list(character="varchar(1000)", double="float", + integer="int", logical="varchar(5)") > sqlSave(channel, Atest, typeInfo = colspec) > sqlColumns(channel, "Atest") TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME COLUMN_SIZE 1 tempdb dbo Atest rownames 12 varchar 1000 2 tempdb dbo Atest x 12 varchar 1000 3 tempdb dbo Atest rn 4 int 10 BUFFER_LENGTH DECIMAL_DIGITS NUM_PREC_RADIX NULLABLE REMARKS COLUMN_DEF 1 1000 NA NA 1 2 1000 NA NA 1 3 4 0 10 1 SQL_DATA_TYPE SQL_DATETIME_SUB CHAR_OCTET_LENGTH ORDINAL_POSITION IS_NULLABLE 1 12 NA 1000 1 YES 2 12 NA 1000 2 YES 3 4 NA NA 3 YES SS_UDT_CATALOG_NAME SS_UDT_SCHEMA_NAME SS_UDT_ASSEMBLY_TYPE_NAME 1 2 3 SS_XML_SCHEMACOLLECTION_CATALOG_NAME SS_XML_SCHEMACOLLECTION_SCHEMA_NAME 1 2 3 SS_XML_SCHEMACOLLECTION_NAME SS_DATA_TYPE 1 39 2 39 3 38 > sqlFetch(channel, "Atest") x 1 1+2+3+4+5+6+7+8+9+10+11+12+13+14+15+16+17+18+19+20+21+22+23+24+25+26+27+28+29+30+31+32+33+34+35+36+37+38+39+40+41+42+43+44+45+46+47+48+49+50+51+52+53+54+55+56+57+58+59+60+61+62+63+64+65+66+67+68+69+70+71+72+73+74+75+76+77+78+79+80+81+82+83+84+85+86+87+88+89+90+91+92+93+94+95+96+97+98+99+100 2 b 3 c 4 d rn 1 1 2 2 3 3 4 4 > sqlUpdate(channel, Btest, "Atest", index = "rn") > sqlFetch(channel, "Atest") x 1 d 2 1+2+3+4+5+6+7+8+9+10+11+12+13+14+15+16+17+18+19+20+21+22+23+24+25+26+27+28+29+30+31+32+33+34+35+36+37+38+39+40+41+42+43+44+45+46+47+48+49+50+51+52+53+54+55+56+57+58+59+60+61+62+63+64+65+66+67+68+69+70+71+72+73+74+75+76+77+78+79+80+81+82+83+84+85+86+87+88+89+90+91+92+93+94+95+96+97+98+99+100 3 b 4 c rn 1 1 2 2 3 3 4 4 > sqlDrop(channel, "Atest") > varspec <- "varchar(1000)"; names(varspec) <- "x" > sqlSave(channel, Atest, varTypes = varspec) > sqlColumns(channel, "Atest") TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME COLUMN_SIZE 1 tempdb dbo Atest rownames 12 varchar 255 2 tempdb dbo Atest x 12 varchar 1000 3 tempdb dbo Atest rn 4 int 10 BUFFER_LENGTH DECIMAL_DIGITS NUM_PREC_RADIX NULLABLE REMARKS COLUMN_DEF 1 255 NA NA 1 2 1000 NA NA 1 3 4 0 10 1 SQL_DATA_TYPE SQL_DATETIME_SUB CHAR_OCTET_LENGTH ORDINAL_POSITION IS_NULLABLE 1 12 NA 255 1 YES 2 12 NA 1000 2 YES 3 4 NA NA 3 YES SS_UDT_CATALOG_NAME SS_UDT_SCHEMA_NAME SS_UDT_ASSEMBLY_TYPE_NAME 1 2 3 SS_XML_SCHEMACOLLECTION_CATALOG_NAME SS_XML_SCHEMACOLLECTION_SCHEMA_NAME 1 2 3 SS_XML_SCHEMACOLLECTION_NAME SS_DATA_TYPE 1 39 2 39 3 38 > sqlFetch(channel, "Atest") x 1 1+2+3+4+5+6+7+8+9+10+11+12+13+14+15+16+17+18+19+20+21+22+23+24+25+26+27+28+29+30+31+32+33+34+35+36+37+38+39+40+41+42+43+44+45+46+47+48+49+50+51+52+53+54+55+56+57+58+59+60+61+62+63+64+65+66+67+68+69+70+71+72+73+74+75+76+77+78+79+80+81+82+83+84+85+86+87+88+89+90+91+92+93+94+95+96+97+98+99+100 2 b 3 c 4 d rn 1 1 2 2 3 3 4 4 > sqlDrop(channel, "Atest") > > dates <- as.character(seq(as.Date("2004-01-01"), by="week", length=10)) > times <- paste(1:10, "05", "00", sep=":") > Dtest <- data.frame(dates, times, logi=c(TRUE, NA, FALSE, FALSE, FALSE)) > sqlDrop(channel, "Dtest", errors = FALSE) > varspec <- c("smalldatetime", "smalldatetime", "varchar(5)") > names(varspec) <- names(Dtest) > # fast = TRUE fails, claims data is invalid > sqlSave(channel, Dtest, varTypes = varspec, verbose=TRUE, fast=FALSE) Query: CREATE TABLE "Dtest" ("rownames" varchar(255), "dates" smalldatetime, "times" smalldatetime, "logi" varchar(5)) Query: INSERT INTO "Dtest" ( "rownames", "dates", "times", "logi" ) VALUES ( '1', '2004-01-01', '1:05:00', 'TRUE' ) Query: INSERT INTO "Dtest" ( "rownames", "dates", "times", "logi" ) VALUES ( '2', '2004-01-08', '2:05:00', NULL ) Query: INSERT INTO "Dtest" ( "rownames", "dates", "times", "logi" ) VALUES ( '3', '2004-01-15', '3:05:00', 'FALSE' ) Query: INSERT INTO "Dtest" ( "rownames", "dates", "times", "logi" ) VALUES ( '4', '2004-01-22', '4:05:00', 'FALSE' ) Query: INSERT INTO "Dtest" ( "rownames", "dates", "times", "logi" ) VALUES ( '5', '2004-01-29', '5:05:00', 'FALSE' ) Query: INSERT INTO "Dtest" ( "rownames", "dates", "times", "logi" ) VALUES ( '6', '2004-02-05', '6:05:00', 'TRUE' ) Query: INSERT INTO "Dtest" ( "rownames", "dates", "times", "logi" ) VALUES ( '7', '2004-02-12', '7:05:00', NULL ) Query: INSERT INTO "Dtest" ( "rownames", "dates", "times", "logi" ) VALUES ( '8', '2004-02-19', '8:05:00', 'FALSE' ) Query: INSERT INTO "Dtest" ( "rownames", "dates", "times", "logi" ) VALUES ( '9', '2004-02-26', '9:05:00', 'FALSE' ) Query: INSERT INTO "Dtest" ( "rownames", "dates", "times", "logi" ) VALUES ( '10', '2004-03-04', '10:05:00', 'FALSE' ) > sqlColumns(channel, "Dtest") TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME 1 tempdb dbo Dtest rownames 12 varchar 2 tempdb dbo Dtest dates 93 smalldatetime 3 tempdb dbo Dtest times 93 smalldatetime 4 tempdb dbo Dtest logi 12 varchar COLUMN_SIZE BUFFER_LENGTH DECIMAL_DIGITS NUM_PREC_RADIX NULLABLE REMARKS 1 255 255 NA NA 1 2 16 16 0 NA 1 3 16 16 0 NA 1 4 5 5 NA NA 1 COLUMN_DEF SQL_DATA_TYPE SQL_DATETIME_SUB CHAR_OCTET_LENGTH ORDINAL_POSITION 1 12 NA 255 1 2 9 3 NA 2 3 9 3 NA 3 4 12 NA 5 4 IS_NULLABLE SS_UDT_CATALOG_NAME SS_UDT_SCHEMA_NAME SS_UDT_ASSEMBLY_TYPE_NAME 1 YES 2 YES 3 YES 4 YES SS_XML_SCHEMACOLLECTION_CATALOG_NAME SS_XML_SCHEMACOLLECTION_SCHEMA_NAME 1 2 3 4 SS_XML_SCHEMACOLLECTION_NAME SS_DATA_TYPE 1 39 2 111 3 111 4 39 > sqlFetch(channel, "Dtest") dates times logi 1 2004-01-01 1900-01-01 01:05:00 TRUE 2 2004-01-08 1900-01-01 02:05:00 NA 3 2004-01-15 1900-01-01 03:05:00 FALSE 4 2004-01-22 1900-01-01 04:05:00 FALSE 5 2004-01-29 1900-01-01 05:05:00 FALSE 6 2004-02-05 1900-01-01 06:05:00 TRUE 7 2004-02-12 1900-01-01 07:05:00 NA 8 2004-02-19 1900-01-01 08:05:00 FALSE 9 2004-02-26 1900-01-01 09:05:00 FALSE 10 2004-03-04 1900-01-01 10:05:00 FALSE > sqlDrop(channel, "Dtest") > > sqlDrop(channel, "hills test", errors = FALSE) > sqlSave(channel, hills, "hills test", verbose=TRUE) Query: CREATE TABLE "hills test" ("rownames" varchar(255), "dist" float, "climb" int, "time" float) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( ?,?,?,? ) Binding: 'rownames' DataType 12, ColSize 255 Binding: 'dist' DataType 6, ColSize 53 Binding: 'climb' DataType 4, ColSize 10 Binding: 'time' DataType 6, ColSize 53 Parameters: no: 1: rownames Greenmantle/***/no: 2: dist 2.5/***/no: 3: climb 650/***/no: 4: time 16.083/***/ no: 1: rownames Carnethy/***/no: 2: dist 6/***/no: 3: climb 2500/***/no: 4: time 48.35/***/ no: 1: rownames Craig Dunain/***/no: 2: dist 6/***/no: 3: climb 900/***/no: 4: time 33.65/***/ no: 1: rownames Ben Rha/***/no: 2: dist 7.5/***/no: 3: climb 800/***/no: 4: time 45.6/***/ no: 1: rownames Ben Lomond/***/no: 2: dist 8/***/no: 3: climb 3070/***/no: 4: time 62.267/***/ no: 1: rownames Goatfell/***/no: 2: dist 8/***/no: 3: climb 2866/***/no: 4: time 73.217/***/ no: 1: rownames Bens of Jura/***/no: 2: dist 16/***/no: 3: climb 7500/***/no: 4: time 204.617/***/ no: 1: rownames Cairnpapple/***/no: 2: dist 6/***/no: 3: climb 800/***/no: 4: time 36.367/***/ no: 1: rownames Scolty/***/no: 2: dist 5/***/no: 3: climb 800/***/no: 4: time 29.75/***/ no: 1: rownames Traprain/***/no: 2: dist 6/***/no: 3: climb 650/***/no: 4: time 39.75/***/ no: 1: rownames Lairig Ghru/***/no: 2: dist 28/***/no: 3: climb 2100/***/no: 4: time 192.667/***/ no: 1: rownames Dollar ('$')/***/no: 2: dist 5/***/no: 3: climb 2000/***/no: 4: time 43.05/***/ no: 1: rownames Lomonds/***/no: 2: dist 9.5/***/no: 3: climb 2200/***/no: 4: time 65/***/ no: 1: rownames Cairn Table/***/no: 2: dist 6/***/no: 3: climb 500/***/no: 4: time 44.133/***/ no: 1: rownames Eildon Two/***/no: 2: dist 4.5/***/no: 3: climb 1500/***/no: 4: time 26.933/***/ > sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=TRUE) Query: UPDATE "hills test" SET "dist"=?, "climb"=?, "time"=? WHERE "rownames"=? Binding: 'dist' DataType 6, ColSize 53 Binding: 'climb' DataType 4, ColSize 10 Binding: 'time' DataType 6, ColSize 53 Binding: 'rownames' DataType 12, ColSize 255 Parameters: no: 1: dist 28/***/no: 2: climb 2100/***/no: 3: time 192.667/***/no: 4: rownames Lairig Ghru/***/ no: 1: dist 5/***/no: 2: climb 2000/***/no: 3: time 43.05/***/no: 4: rownames Dollar ('$')/***/ no: 1: dist 9.5/***/no: 2: climb 2200/***/no: 3: time 65/***/no: 4: rownames Lomonds/***/ no: 1: dist 6/***/no: 2: climb 500/***/no: 3: time 44.133/***/no: 4: rownames Cairn Table/***/ no: 1: dist 4.5/***/no: 2: climb 1500/***/no: 3: time 26.933/***/no: 4: rownames Eildon Two/***/ > sqlFetch(channel, "hills test") dist climb time Greenmantle 2.5 650 16.083 Carnethy 6.0 2500 48.350 Craig Dunain 6.0 900 33.650 Ben Rha 7.5 800 45.600 Ben Lomond 8.0 3070 62.267 Goatfell 8.0 2866 73.217 Bens of Jura 16.0 7500 204.617 Cairnpapple 6.0 800 36.367 Scolty 5.0 800 29.750 Traprain 6.0 650 39.750 Lairig Ghru 28.0 2100 192.667 Dollar ('$') 5.0 2000 43.050 Lomonds 9.5 2200 65.000 Cairn Table 6.0 500 44.133 Eildon Two 4.5 1500 26.933 > sqlDrop(channel, "hills test") > sqlSave(channel, hills, "hills test", verbose=TRUE, fast=FALSE) Query: CREATE TABLE "hills test" ("rownames" varchar(255), "dist" float, "climb" int, "time" float) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Greenmantle', 2.5, 650, 16.083 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Carnethy', 6.0, 2500, 48.350 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Craig Dunain', 6.0, 900, 33.650 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Ben Rha', 7.5, 800, 45.600 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Ben Lomond', 8.0, 3070, 62.267 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Goatfell', 8.0, 2866, 73.217 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Bens of Jura', 16.0, 7500, 204.617 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Cairnpapple', 6.0, 800, 36.367 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Scolty', 5.0, 800, 29.750 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Traprain', 6.0, 650, 39.750 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Lairig Ghru', 28.0, 2100, 192.667 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Dollar (''$'')', 5.0, 2000, 43.050 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Lomonds', 9.5, 2200, 65.000 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Cairn Table', 6.0, 500, 44.133 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Eildon Two', 4.5, 1500, 26.933 ) > sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=FALSE) Query: UPDATE "hills test" SET "dist"=28.0, "climb"=2100, "time"=192.667 WHERE "rownames"='Lairig Ghru' Query: UPDATE "hills test" SET "dist"= 5.0, "climb"=2000, "time"= 43.050 WHERE "rownames"='Dollar (''$'')' Query: UPDATE "hills test" SET "dist"= 9.5, "climb"=2200, "time"= 65.000 WHERE "rownames"='Lomonds' Query: UPDATE "hills test" SET "dist"= 6.0, "climb"= 500, "time"= 44.133 WHERE "rownames"='Cairn Table' Query: UPDATE "hills test" SET "dist"= 4.5, "climb"=1500, "time"= 26.933 WHERE "rownames"='Eildon Two' > sqlDrop(channel, "hills test") > > sqlTables(channel, catalog="", schema="", tableName="", tableType="%") TABLE_CAT TABLE_SCHEM TABLE_NAME TABLE_TYPE REMARKS 1 SYSTEM TABLE 2 TABLE 3 VIEW > sqlTables(channel, catalog="%", schema="", tableName="") TABLE_CAT TABLE_SCHEM TABLE_NAME TABLE_TYPE REMARKS 1 master 2 msdb 3 tempdb > # sqlQuery(channel, "create schema test2") > ## only list schemas which contain objects > sqlTables(channel, catalog="", schema="%", tableName="") TABLE_CAT TABLE_SCHEM TABLE_NAME TABLE_TYPE REMARKS 1 INFORMATION_SCHEMA 2 sys > ## list all schema > sqlQuery(channel, "select * from sys.schemas") name schema_id principal_id 1 dbo 1 1 2 guest 2 2 3 INFORMATION_SCHEMA 3 3 4 sys 4 4 5 test2 5 1 6 db_owner 16384 16384 7 db_accessadmin 16385 16385 8 db_securityadmin 16386 16386 9 db_ddladmin 16387 16387 10 db_backupoperator 16389 16389 11 db_datareader 16390 16390 12 db_datawriter 16391 16391 13 db_denydatareader 16392 16392 14 db_denydatawriter 16393 16393 > sqlSave(channel, women, "test2.women") > sqlTables(channel, catalog="", schema="%", tableName="") TABLE_CAT TABLE_SCHEM TABLE_NAME TABLE_TYPE REMARKS 1 INFORMATION_SCHEMA 2 sys 3 test2 > sqlTables(channel, tableType="TABLE") TABLE_CAT TABLE_SCHEM TABLE_NAME TABLE_TYPE REMARKS 1 tempdb test2 women TABLE > sqlDrop(channel, "test2.women") > > close(channel) > RODBC/tests/mimer.Rout.save0000644000176000001440000006342211754561777015251 0ustar ripleyusers R version 2.9.1 Patched (2009-07-27 r49006) Copyright (C) 2009 The R Foundation for Statistical Computing ISBN 3-900051-07-0 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > ##-*- R -*- > library(RODBC) > library(MASS) > USArrests[1,2] <- NA > hills <- hills[1:15,] > row.names(hills)[12] <- "Dollar ('$')" > set.seed(1) > > channel <- odbcConnect("mimdb", uid="DEVUSER", pwd=Sys.getenv("DB_PWD")) > if(!inherits(channel, "RODBC")) q("no") > sqlTables(channel, schema="DEVUSER") [1] TABLE_CAT TABLE_SCHEM TABLE_NAME TABLE_TYPE REMARKS <0 rows> (or 0-length row.names) > sqlDrop(channel, "USArrests", errors = FALSE) > sqlSave(channel, USArrests, rownames = "State", addPK = TRUE) > sqlTables(channel, schema="DEVUSER") TABLE_CAT TABLE_SCHEM TABLE_NAME TABLE_TYPE REMARKS 1 DEVUSER USArrests TABLE > sqlColumns(channel, "USArrests") TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME 1 DEVUSER USArrests State 12 CHARACTER VARYING 2 DEVUSER USArrests Murder 8 DOUBLE PRECISION 3 DEVUSER USArrests Assault 4 INTEGER 4 DEVUSER USArrests UrbanPop 4 INTEGER 5 DEVUSER USArrests Rape 8 DOUBLE PRECISION COLUMN_SIZE BUFFER_LENGTH DECIMAL_DIGITS NUM_PREC_RADIX NULLABLE REMARKS 1 255 255 NA NA 0 2 16 8 NA 10 1 3 10 4 0 10 1 4 10 4 0 10 1 5 16 8 NA 10 1 COLUMN_DEF SQL_DATA_TYPE SQL_DATETIME_SUB CHAR_OCTET_LENGTH ORDINAL_POSITION 1 12 NA 255 1 2 8 NA NA 2 3 4 NA NA 3 4 4 NA NA 4 5 8 NA NA 5 IS_NULLABLE 1 NO 2 YES 3 YES 4 YES 5 YES > sqlColumns(channel, "USArrests", special = TRUE) SCOPE COLUMN_NAME DATA_TYPE TYPE_NAME COLUMN_SIZE BUFFER_LENGTH 1 2 State 12 CHARACTER VARYING 255 255 DECIMAL_DIGITS PSEUDO_COLUMN 1 NA 1 > sqlPrimaryKeys(channel, "USArrests") TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME KEY_SEQ PK_NAME 1 DEVUSER USArrests State 1 SQL_PRIMARY_KEY_510 > sqlFetch(channel, "USArrests", rownames = "State") Murder Assault UrbanPop Rape Alabama 13.2 NA 58 21.2 Alaska 10.0 263 48 44.5 Arizona 8.1 294 80 31.0 Arkansas 8.8 190 50 19.5 California 9.0 276 91 40.6 Colorado 7.9 204 78 38.7 Connecticut 3.3 110 77 11.1 Delaware 5.9 238 72 15.8 Florida 15.4 335 80 31.9 Georgia 17.4 211 60 25.8 Hawaii 5.3 46 83 20.2 Idaho 2.6 120 54 14.2 Illinois 10.4 249 83 24.0 Indiana 7.2 113 65 21.0 Iowa 2.2 56 57 11.3 Kansas 6.0 115 66 18.0 Kentucky 9.7 109 52 16.3 Louisiana 15.4 249 66 22.2 Maine 2.1 83 51 7.8 Maryland 11.3 300 67 27.8 Massachusetts 4.4 149 85 16.3 Michigan 12.1 255 74 35.1 Minnesota 2.7 72 66 14.9 Mississippi 16.1 259 44 17.1 Missouri 9.0 178 70 28.2 Montana 6.0 109 53 16.4 Nebraska 4.3 102 62 16.5 Nevada 12.2 252 81 46.0 New Hampshire 2.1 57 56 9.5 New Jersey 7.4 159 89 18.8 New Mexico 11.4 285 70 32.1 New York 11.1 254 86 26.1 North Carolina 13.0 337 45 16.1 North Dakota 0.8 45 44 7.3 Ohio 7.3 120 75 21.4 Oklahoma 6.6 151 68 20.0 Oregon 4.9 159 67 29.3 Pennsylvania 6.3 106 72 14.9 Rhode Island 3.4 174 87 8.3 South Carolina 14.4 279 48 22.5 South Dakota 3.8 86 45 12.8 Tennessee 13.2 188 59 26.9 Texas 12.7 201 80 25.5 Utah 3.2 120 80 22.9 Vermont 2.2 48 32 11.2 Virginia 8.5 156 63 20.7 Washington 4.0 145 73 26.2 West Virginia 5.7 81 39 9.3 Wisconsin 2.6 53 66 10.8 Wyoming 6.8 161 60 15.6 > sqlQuery(channel, "select State, Murder from USArrests where Rape > 30 order by Murder") STATE MURDER 1 Colorado 7.9 2 Arizona 8.1 3 California 9.0 4 Alaska 10.0 5 New Mexico 11.4 6 Michigan 12.1 7 Nevada 12.2 8 Florida 15.4 > foo <- cbind(State=row.names(USArrests), USArrests)[1:3, c(1,3)] > foo[1,2] <- 236 > sqlUpdate(channel, foo, "USArrests") > sqlFetch(channel, "USArrests", rownames = "State", max = 5) Murder Assault UrbanPop Rape Alabama 13.2 236 58 21.2 Alaska 10.0 263 48 44.5 Arizona 8.1 294 80 31.0 Arkansas 8.8 190 50 19.5 California 9.0 276 91 40.6 > sqlFetchMore(channel, rownames = "State", max = 8) Murder Assault UrbanPop Rape Colorado 7.9 204 78 38.7 Connecticut 3.3 110 77 11.1 Delaware 5.9 238 72 15.8 Florida 15.4 335 80 31.9 Georgia 17.4 211 60 25.8 Hawaii 5.3 46 83 20.2 Idaho 2.6 120 54 14.2 Illinois 10.4 249 83 24.0 > sqlDrop(channel, "USArrests") > > Btest <- Atest <- + data.frame(x = c(paste(1:100, collapse="+"), letters[2:4]), rn=1:4) > Btest[,1] <- Atest[c(4,1:3),1] > sqlDrop(channel, "Atest", errors = FALSE) > ## max is 15000 for varchar and char > colspec <- list(character="varchar(1000)", double="double", + integer="integer", logical="varchar(5)") > sqlSave(channel, Atest, typeInfo = colspec) > sqlColumns(channel, "Atest") TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME 1 DEVUSER Atest rownames 12 CHARACTER VARYING 2 DEVUSER Atest x 12 CHARACTER VARYING 3 DEVUSER Atest rn 4 INTEGER COLUMN_SIZE BUFFER_LENGTH DECIMAL_DIGITS NUM_PREC_RADIX NULLABLE REMARKS 1 1000 1000 NA NA 1 2 1000 1000 NA NA 1 3 10 4 0 10 1 COLUMN_DEF SQL_DATA_TYPE SQL_DATETIME_SUB CHAR_OCTET_LENGTH ORDINAL_POSITION 1 12 NA 1000 1 2 12 NA 1000 2 3 4 NA NA 3 IS_NULLABLE 1 YES 2 YES 3 YES > sqlFetch(channel, "Atest") x 1 1+2+3+4+5+6+7+8+9+10+11+12+13+14+15+16+17+18+19+20+21+22+23+24+25+26+27+28+29+30+31+32+33+34+35+36+37+38+39+40+41+42+43+44+45+46+47+48+49+50+51+52+53+54+55+56+57+58+59+60+61+62+63+64+65+66+67+68+69+70+71+72+73+74+75+76+77+78+79+80+81+82+83+84+85+86+87+88+89+90+91+92+93+94+95+96+97+98+99+100 2 b 3 c 4 d rn 1 1 2 2 3 3 4 4 > sqlUpdate(channel, Btest, "Atest", index = "rn") > sqlFetch(channel, "Atest") x 1 d 2 1+2+3+4+5+6+7+8+9+10+11+12+13+14+15+16+17+18+19+20+21+22+23+24+25+26+27+28+29+30+31+32+33+34+35+36+37+38+39+40+41+42+43+44+45+46+47+48+49+50+51+52+53+54+55+56+57+58+59+60+61+62+63+64+65+66+67+68+69+70+71+72+73+74+75+76+77+78+79+80+81+82+83+84+85+86+87+88+89+90+91+92+93+94+95+96+97+98+99+100 3 b 4 c rn 1 1 2 2 3 3 4 4 > sqlDrop(channel, "Atest") > varspec <- "character(500)"; names(varspec) <- "x" > sqlSave(channel, Atest, varTypes = varspec) > sqlColumns(channel, "Atest") TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME 1 DEVUSER Atest rownames 12 CHARACTER VARYING 2 DEVUSER Atest x 1 CHARACTER 3 DEVUSER Atest rn 4 INTEGER COLUMN_SIZE BUFFER_LENGTH DECIMAL_DIGITS NUM_PREC_RADIX NULLABLE REMARKS 1 255 255 NA NA 1 2 500 500 NA NA 1 3 10 4 0 10 1 COLUMN_DEF SQL_DATA_TYPE SQL_DATETIME_SUB CHAR_OCTET_LENGTH ORDINAL_POSITION 1 12 NA 255 1 2 1 NA 500 2 3 4 NA NA 3 IS_NULLABLE 1 YES 2 YES 3 YES > sqlFetch(channel, "Atest") x 1 1+2+3+4+5+6+7+8+9+10+11+12+13+14+15+16+17+18+19+20+21+22+23+24+25+26+27+28+29+30+31+32+33+34+35+36+37+38+39+40+41+42+43+44+45+46+47+48+49+50+51+52+53+54+55+56+57+58+59+60+61+62+63+64+65+66+67+68+69+70+71+72+73+74+75+76+77+78+79+80+81+82+83+84+85+86+87+88+89+90+91+92+93+94+95+96+97+98+99+100 2 b 3 c 4 d rn 1 1 2 2 3 3 4 4 > sqlDrop(channel, "Atest") > > dates <- as.character(seq(as.Date("2004-01-01"), by="week", length=10)) > times <- paste(1:10, "05", "00", sep=":") > dt <- as.POSIXct(paste(dates, times)) > Dtest <- data.frame(dates, dt, logi=c(TRUE, NA, FALSE, FALSE, FALSE)) > varspec <- c("date", "timestamp", "varchar(5)") > names(varspec) <- names(Dtest) > sqlDrop(channel, "Dtest", errors = FALSE) > sqlSave(channel, Dtest, varTypes = varspec) > sqlColumns(channel, "Dtest") TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME 1 DEVUSER Dtest rownames 12 CHARACTER VARYING 2 DEVUSER Dtest dates 91 DATE 3 DEVUSER Dtest dt 93 TIMESTAMP 4 DEVUSER Dtest logi 12 CHARACTER VARYING COLUMN_SIZE BUFFER_LENGTH DECIMAL_DIGITS NUM_PREC_RADIX NULLABLE REMARKS 1 255 255 NA NA 1 2 10 6 NA NA 1 3 26 16 6 NA 1 4 5 5 NA NA 1 COLUMN_DEF SQL_DATA_TYPE SQL_DATETIME_SUB CHAR_OCTET_LENGTH ORDINAL_POSITION 1 12 NA 255 1 2 9 1 NA 2 3 9 3 NA 3 4 12 NA 5 4 IS_NULLABLE 1 YES 2 YES 3 YES 4 YES > sqlFetch(channel, "Dtest") dates dt logi 1 2004-01-01 2004-01-01 01:05:00 TRUE 2 2004-01-08 2004-01-08 02:05:00 NA 3 2004-01-15 2004-01-15 03:05:00 FALSE 4 2004-01-22 2004-01-22 04:05:00 FALSE 5 2004-01-29 2004-01-29 05:05:00 FALSE 6 2004-02-05 2004-02-05 06:05:00 TRUE 7 2004-02-12 2004-02-12 07:05:00 NA 8 2004-02-19 2004-02-19 08:05:00 FALSE 9 2004-02-26 2004-02-26 09:05:00 FALSE 10 2004-03-04 2004-03-04 10:05:00 FALSE > sqlDrop(channel, "Dtest", errors = FALSE) > sqlSave(channel, Dtest, varTypes = varspec, fast = FALSE) > sqlColumns(channel, "Dtest") TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME 1 DEVUSER Dtest rownames 12 CHARACTER VARYING 2 DEVUSER Dtest dates 91 DATE 3 DEVUSER Dtest dt 93 TIMESTAMP 4 DEVUSER Dtest logi 12 CHARACTER VARYING COLUMN_SIZE BUFFER_LENGTH DECIMAL_DIGITS NUM_PREC_RADIX NULLABLE REMARKS 1 255 255 NA NA 1 2 10 6 NA NA 1 3 26 16 6 NA 1 4 5 5 NA NA 1 COLUMN_DEF SQL_DATA_TYPE SQL_DATETIME_SUB CHAR_OCTET_LENGTH ORDINAL_POSITION 1 12 NA 255 1 2 9 1 NA 2 3 9 3 NA 3 4 12 NA 5 4 IS_NULLABLE 1 YES 2 YES 3 YES 4 YES > sqlFetch(channel, "Dtest") dates dt logi 1 2004-01-01 2004-01-01 01:05:00 TRUE 2 2004-01-08 2004-01-08 02:05:00 NA 3 2004-01-15 2004-01-15 03:05:00 FALSE 4 2004-01-22 2004-01-22 04:05:00 FALSE 5 2004-01-29 2004-01-29 05:05:00 FALSE 6 2004-02-05 2004-02-05 06:05:00 TRUE 7 2004-02-12 2004-02-12 07:05:00 NA 8 2004-02-19 2004-02-19 08:05:00 FALSE 9 2004-02-26 2004-02-26 09:05:00 FALSE 10 2004-03-04 2004-03-04 10:05:00 FALSE > sqlDrop(channel, "Dtest") > > sqlDrop(channel, "hills test", errors = FALSE) > sqlSave(channel, hills, "hills test", verbose=TRUE) Query: CREATE TABLE "hills test" ("rownames" VARCHAR(255), "dist" DOUBLE PRECISION, "climb" INTEGER, "time" DOUBLE PRECISION) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( ?,?,?,? ) Binding: 'rownames' DataType 12, ColSize 255 Binding: 'dist' DataType 8, ColSize 16 Binding: 'climb' DataType 4, ColSize 10 Binding: 'time' DataType 8, ColSize 16 Parameters: no: 1: rownames Greenmantle/***/no: 2: dist 2.5/***/no: 3: climb 650/***/no: 4: time 16.083/***/ no: 1: rownames Carnethy/***/no: 2: dist 6/***/no: 3: climb 2500/***/no: 4: time 48.35/***/ no: 1: rownames Craig Dunain/***/no: 2: dist 6/***/no: 3: climb 900/***/no: 4: time 33.65/***/ no: 1: rownames Ben Rha/***/no: 2: dist 7.5/***/no: 3: climb 800/***/no: 4: time 45.6/***/ no: 1: rownames Ben Lomond/***/no: 2: dist 8/***/no: 3: climb 3070/***/no: 4: time 62.267/***/ no: 1: rownames Goatfell/***/no: 2: dist 8/***/no: 3: climb 2866/***/no: 4: time 73.217/***/ no: 1: rownames Bens of Jura/***/no: 2: dist 16/***/no: 3: climb 7500/***/no: 4: time 204.617/***/ no: 1: rownames Cairnpapple/***/no: 2: dist 6/***/no: 3: climb 800/***/no: 4: time 36.367/***/ no: 1: rownames Scolty/***/no: 2: dist 5/***/no: 3: climb 800/***/no: 4: time 29.75/***/ no: 1: rownames Traprain/***/no: 2: dist 6/***/no: 3: climb 650/***/no: 4: time 39.75/***/ no: 1: rownames Lairig Ghru/***/no: 2: dist 28/***/no: 3: climb 2100/***/no: 4: time 192.667/***/ no: 1: rownames Dollar ('$')/***/no: 2: dist 5/***/no: 3: climb 2000/***/no: 4: time 43.05/***/ no: 1: rownames Lomonds/***/no: 2: dist 9.5/***/no: 3: climb 2200/***/no: 4: time 65/***/ no: 1: rownames Cairn Table/***/no: 2: dist 6/***/no: 3: climb 500/***/no: 4: time 44.133/***/ no: 1: rownames Eildon Two/***/no: 2: dist 4.5/***/no: 3: climb 1500/***/no: 4: time 26.933/***/ > sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=TRUE) Query: UPDATE "hills test" SET "dist"=?, "climb"=?, "time"=? WHERE "rownames"=? Binding: 'dist' DataType 8, ColSize 16 Binding: 'climb' DataType 4, ColSize 10 Binding: 'time' DataType 8, ColSize 16 Binding: 'rownames' DataType 12, ColSize 255 Parameters: no: 1: dist 28/***/no: 2: climb 2100/***/no: 3: time 192.667/***/no: 4: rownames Lairig Ghru/***/ no: 1: dist 5/***/no: 2: climb 2000/***/no: 3: time 43.05/***/no: 4: rownames Dollar ('$')/***/ no: 1: dist 9.5/***/no: 2: climb 2200/***/no: 3: time 65/***/no: 4: rownames Lomonds/***/ no: 1: dist 6/***/no: 2: climb 500/***/no: 3: time 44.133/***/no: 4: rownames Cairn Table/***/ no: 1: dist 4.5/***/no: 2: climb 1500/***/no: 3: time 26.933/***/no: 4: rownames Eildon Two/***/ > sqlFetch(channel, "hills test") dist climb time Greenmantle 2.5 650 16.083 Carnethy 6.0 2500 48.350 Craig Dunain 6.0 900 33.650 Ben Rha 7.5 800 45.600 Ben Lomond 8.0 3070 62.267 Goatfell 8.0 2866 73.217 Bens of Jura 16.0 7500 204.617 Cairnpapple 6.0 800 36.367 Scolty 5.0 800 29.750 Traprain 6.0 650 39.750 Lairig Ghru 28.0 2100 192.667 Dollar ('$') 5.0 2000 43.050 Lomonds 9.5 2200 65.000 Cairn Table 6.0 500 44.133 Eildon Two 4.5 1500 26.933 > sqlDrop(channel, "hills test") > sqlSave(channel, hills, "hills test", verbose=TRUE, fast=FALSE) Query: CREATE TABLE "hills test" ("rownames" VARCHAR(255), "dist" DOUBLE PRECISION, "climb" INTEGER, "time" DOUBLE PRECISION) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Greenmantle', 2.5, 650, 16.083 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Carnethy', 6.0, 2500, 48.350 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Craig Dunain', 6.0, 900, 33.650 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Ben Rha', 7.5, 800, 45.600 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Ben Lomond', 8.0, 3070, 62.267 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Goatfell', 8.0, 2866, 73.217 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Bens of Jura', 16.0, 7500, 204.617 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Cairnpapple', 6.0, 800, 36.367 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Scolty', 5.0, 800, 29.750 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Traprain', 6.0, 650, 39.750 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Lairig Ghru', 28.0, 2100, 192.667 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Dollar (''$'')', 5.0, 2000, 43.050 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Lomonds', 9.5, 2200, 65.000 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Cairn Table', 6.0, 500, 44.133 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Eildon Two', 4.5, 1500, 26.933 ) > sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=FALSE) Query: UPDATE "hills test" SET "dist"=28.0, "climb"=2100, "time"=192.667 WHERE "rownames"='Lairig Ghru' Query: UPDATE "hills test" SET "dist"= 5.0, "climb"=2000, "time"= 43.050 WHERE "rownames"='Dollar (''$'')' Query: UPDATE "hills test" SET "dist"= 9.5, "climb"=2200, "time"= 65.000 WHERE "rownames"='Lomonds' Query: UPDATE "hills test" SET "dist"= 6.0, "climb"= 500, "time"= 44.133 WHERE "rownames"='Cairn Table' Query: UPDATE "hills test" SET "dist"= 4.5, "climb"=1500, "time"= 26.933 WHERE "rownames"='Eildon Two' > sqlDrop(channel, "hills test") > > sqlTables(channel, catalog="", schema="", tableName="", tableType="%") TABLE_CAT TABLE_SCHEM TABLE_NAME TABLE_TYPE REMARKS 1 SYNONYM 2 SYSTEM TABLE 3 TABLE 4 VIEW > > # sqlQuery(channel, "create schema test2") > sqlQuery(channel, "SELECT * FROM information_schema.schemata") CATALOG_NAME SCHEMA_NAME SCHEMA_OWNER DEFAULT_CHARACTER_SET_CATALOG 1 NA DEVUSER DEVUSER NA 2 NA TEST2 DEVUSER NA DEFAULT_CHARACTER_SET_SCHEMA DEFAULT_CHARACTER_SET_NAME SQL_PATH 1 INFORMATION_SCHEMA ISO8BIT NA 2 INFORMATION_SCHEMA ISO8BIT NA > sqlSave(channel, women, "test2.women") > sqlTables(channel, tableType="TABLE") TABLE_CAT TABLE_SCHEM TABLE_NAME TABLE_TYPE REMARKS 1 TEST2 WOMEN TABLE > sqlTables(channel, schema="test2") TABLE_CAT TABLE_SCHEM TABLE_NAME TABLE_TYPE REMARKS 1 TEST2 WOMEN TABLE > sqlDrop(channel, "test2.women") > > close(channel) > RODBC/tests/excel.RR0000644000176000001440000000264711754561777013677 0ustar ripleyusers##-*- R -*- library(RODBC) library(MASS) USArrests[1,2] <- NA hills <- hills[1:15,] row.names(hills)[12] <- "Dollar ('$')" # DBase: maps table/column names to u/case, max length 8 dbf <- system.file("files", "sids.dbf", package="foreign") unlink("sids.dbf") file.copy(dbf, "sids.dbf") channel <- odbcConnectDbase("sids.dbf") str(sids <- sqlFetch(channel, "sids")) sqlUpdate(channel, sids[1:2, ], "sids", index="NAME", verbose=TRUE, fast=FALSE) close(channel) channel <- odbcConnectDbase("sids.dbf", case="toupper") sqlDrop(channel, "HILLS 2", errors=FALSE) sqlSave(channel, hills, "HILLS 2", verbose=TRUE) sqlUpdate(channel, hills[11:15,], "HILLS 2", verbose=TRUE) sqlDrop(channel, "HILLS 2") close(channel) # Excel 2003 channel <- odbcConnectExcel("hills.xls") ## list the spreadsheets and marked ranges sqlTables(channel) sqlColumns(channel, "hills") ## two ways to retrieve the contents of hills sqlFetch(channel, "hills") sqlQuery(channel, "select * from [hills$]") sqlFetch(channel, "women") close(channel) # The Excel driver maps ' ' to '_'. channel <- odbcConnectExcel("hills.xls", readOnly=FALSE) sqlSave(channel, hills, "hills_test", verbose=TRUE, fast=FALSE) sqlUpdate(channel, hills[11:15,], "hills_test", verbose=TRUE, fast=FALSE) sqlFetch(channel, "hills_test") sqlSave(channel, hills, "hills_test2", verbose=TRUE) sqlUpdate(channel, hills[11:15,], "hills_test2", verbose=TRUE) sqlFetch(channel, "hills_test2") close(channel) RODBC/tests/access.RR0000644000176000001440000000325611754561777014035 0ustar ripleyusers##-*- R -*- library(RODBC) library(MASS) USArrests[1,2] <- NA hills <- hills[1:15,] row.names(hills)[12] <- "Dollar ('$')" channel <- odbcConnect("testacc") if(!inherits(channel, "RODBC")) q("no") odbcGetInfo(channel) sqlTables(channel) sqlDrop(channel, "USArrests", errors = FALSE) sqlSave(channel, USArrests) sqlTables(channel) sqlColumns(channel, "USArrests") sqlPrimaryKeys(channel, "USArrests") # reports none sqlFetch(channel, "USArrests") query <- paste("select rownames, murder from USArrests", "where Rape > 30", "order by Murder") sqlQuery(channel, query) sqlCopy(channel, query, "HighRape", rownames = FALSE) sqlFetch(channel, "HighRape", max = 5) sqlTables(channel) sqlDrop(channel, "HighRape") foo <- USArrests[1:3, 2, drop = FALSE] foo[1,1] <- 236 sqlUpdate(channel, foo, "USArrests") sqlFetch(channel, "USArrests", max = 5) sqlFetchMore(channel, max = 8) sqlDrop(channel, "USArrests") dates <- as.character(seq(as.Date("2004-01-01"), by="week", length=10)) Dtest <- data.frame(dates) sqlDrop(channel, "Dtest", errors = FALSE) varspec <- "DATETIME"; names(varspec) <- names(Dtest) ## fast = TRUE crashes sqlSave(channel, Dtest, varTypes = varspec, verbose=TRUE, fast=FALSE) sqlColumns(channel, "Dtest") sqlFetch(channel, "Dtest") sqlDrop(channel, "Dtest") sqlDrop(channel, "hills test", errors = FALSE) sqlSave(channel, hills, "hills test", verbose=TRUE) sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=TRUE) sqlFetch(channel, "hills test") sqlDrop(channel, "hills test") sqlSave(channel, hills, "hills test", verbose=TRUE, fast=FALSE) sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=FALSE) sqlDrop(channel, "hills test") close(channel) RODBC/tests/Oracle.RR0000644000176000001440000000650011754561777013774 0ustar ripleyusers##-*- R -*- library(RODBC) library(MASS) USArrests[1,2] <- NA hills <- hills[1:15,] row.names(hills)[12] <- "Dollar ('$')" set.seed(1) channel <- odbcConnect("Oracle", pwd = Sys.getenv("DB_PWD")) if(!inherits(channel, "RODBC")) q("no") odbcGetInfo(channel) sqlTables(channel, schema = "RIPLEY") sqlDrop(channel, "USArrests", errors = FALSE) sqlSave(channel, USArrests, rownames = "State", addPK = TRUE) sqlTables(channel, schema = "RIPLEY") sqlColumns(channel, "USArrests") sqlColumns(channel, "USArrests", special = TRUE) sqlPrimaryKeys(channel, "USArrests") sqlFetch(channel, "USArrests", rownames = "State") sqlQuery(channel, 'select "State", "Murder" from "USArrests" where "Rape" > 30 order by "Murder"') foo <- cbind(State=row.names(USArrests), USArrests)[1:3, c(1,3)] foo[1,2] <- 236 sqlUpdate(channel, foo, "USArrests", index = "State") sqlFetch(channel, "USArrests", rownames = "State", max = 5) sqlFetchMore(channel, rownames = "State", max = 8) sqlDrop(channel, "USArrests") Btest <- Atest <- data.frame(x = c(paste(1:100, collapse="+"), letters[2:4]), rn=1:4) Btest[,1] <- Atest[c(4,1:3),1] sqlDrop(channel, "Atest", errors = FALSE) ## max for varchar is 4000, for char 2000, half that for nchar, nvarchar colspec <- list(character="varchar(1000)", double="binary_double", integer="decimal", logical="varchar(5)") sqlSave(channel, Atest, typeInfo = colspec) sqlColumns(channel, "Atest") sqlFetch(channel, "Atest") sqlUpdate(channel, Btest, "Atest", index = "rn") sqlFetch(channel, "Atest") sqlDrop(channel, "Atest") varspec <- "varchar(1000)"; names(varspec) <- "x" sqlSave(channel, Atest, varTypes = varspec) sqlColumns(channel, "Atest") sqlFetch(channel, "Atest") sqlDrop(channel, "Atest") dates <- as.character(seq(as.Date("2004-01-01"), by="week", length=10)) times <- paste(1:10, "05", "00", sep=":") dt <- as.POSIXct(paste(dates, times)) Dtest <- data.frame(dates, dt, logi=c(TRUE, NA, FALSE, FALSE, FALSE)) varspec <- c("date", "timestamp", "varchar(5)") names(varspec) <- names(Dtest) sqlDrop(channel, "Dtest", errors = FALSE) sqlSave(channel, Dtest, varTypes = varspec) sqlColumns(channel, "Dtest") sqlFetch(channel, "Dtest") sqlDrop(channel, "Dtest") sqlQuery(channel, "alter session set NLS_DATE_FORMAT='yyyy-mm-dd hh:mi:ss'") sqlDrop(channel, "Dtest", errors = FALSE) sqlSave(channel, Dtest[-1], "Dtest", fast = FALSE, varTypes = c(dt = "date", logi = "varchar(5)")) sqlColumns(channel, "Dtest") sqlFetch(channel, "Dtest") sqlDrop(channel, "Dtest") sqlDrop(channel, "hills test", errors = FALSE) sqlSave(channel, hills, "hills test", verbose=TRUE) sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=TRUE) sqlFetch(channel, "hills test") sqlDrop(channel, "hills test") sqlSave(channel, hills, "hills test", verbose=TRUE, fast=FALSE) sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=FALSE) sqlDrop(channel, "hills test") ## dropping tables in Oracle does not delete them. sqlQuery(channel, "PURGE recyclebin") sqlTables(channel, catalog="", schema="", tableName="", tableType="%") sqlTables(channel, catalog="", schema="%", tableName="") sqlSave(channel, women) sqlFetch(channel, "SYSTEM.TAB") sqlFetch(channel, "SYSTEM.COL") sqlColumns(channel, schema="SYSTEM", "TAB") sqlDrop(channel, "women") ## dropping tables in Oracle does not delete them. sqlQuery(channel, "PURGE recyclebin") close(channel) RODBC/tests/DB2.Rout.save0000644000176000001440000006673111754561777014515 0ustar ripleyusers R version 2.13.1 (2011-07-08) Copyright (C) 2011 The R Foundation for Statistical Computing ISBN 3-900051-07-0 Platform: i386-pc-mingw32/i386 (32-bit) R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > ##-*- R -*- > library(RODBC) > library(MASS) > USArrests[1,2] <- NA > hills <- hills[1:15,] > row.names(hills)[12] <- "Dollar ('$')" > set.seed(1) > options(digits.secs = 3) > > channel <- odbcConnect("DB2") > if(!inherits(channel, "RODBC")) q("no") > sqlTables(channel, schema="RIPLEY") [1] TABLE_CAT TABLE_SCHEM TABLE_NAME TABLE_TYPE REMARKS <0 rows> (or 0-length row.names) > sqlDrop(channel, "USArrests", errors = FALSE) > sqlSave(channel, USArrests, rownames = "State", addPK = TRUE) > sqlTables(channel, schema="RIPLEY") TABLE_CAT TABLE_SCHEM TABLE_NAME TABLE_TYPE REMARKS 1 RIPLEY USArrests TABLE > sqlColumns(channel, "USArrests") TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME COLUMN_SIZE 1 RIPLEY USArrests State 12 VARCHAR 255 2 RIPLEY USArrests Murder 8 DOUBLE 53 3 RIPLEY USArrests Assault 4 INTEGER 10 4 RIPLEY USArrests UrbanPop 4 INTEGER 10 5 RIPLEY USArrests Rape 8 DOUBLE 53 BUFFER_LENGTH DECIMAL_DIGITS NUM_PREC_RADIX NULLABLE REMARKS COLUMN_DEF 1 255 NA NA 0 2 8 NA 2 1 3 4 0 10 1 4 4 0 10 1 5 8 NA 2 1 SQL_DATA_TYPE SQL_DATETIME_SUB CHAR_OCTET_LENGTH ORDINAL_POSITION IS_NULLABLE 1 12 NA 255 1 NO 2 8 NA NA 2 YES 3 4 NA NA 3 YES 4 4 NA NA 4 YES 5 8 NA NA 5 YES > sqlColumns(channel, "USArrests", special = TRUE) [1] SCOPE COLUMN_NAME DATA_TYPE TYPE_NAME COLUMN_SIZE [6] BUFFER_LENGTH DECIMAL_DIGITS PSEUDO_COLUMN <0 rows> (or 0-length row.names) > sqlPrimaryKeys(channel, "USArrests") TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME KEY_SEQ PK_NAME 1 RIPLEY USArrests State 1 SQL090709102101900 > sqlFetch(channel, "USArrests", rownames = "State") Murder Assault UrbanPop Rape Alabama 13.2 NA 58 21.2 Alaska 10.0 263 48 44.5 Arizona 8.1 294 80 31.0 Arkansas 8.8 190 50 19.5 California 9.0 276 91 40.6 Colorado 7.9 204 78 38.7 Connecticut 3.3 110 77 11.1 Delaware 5.9 238 72 15.8 Florida 15.4 335 80 31.9 Georgia 17.4 211 60 25.8 Hawaii 5.3 46 83 20.2 Idaho 2.6 120 54 14.2 Illinois 10.4 249 83 24.0 Indiana 7.2 113 65 21.0 Iowa 2.2 56 57 11.3 Kansas 6.0 115 66 18.0 Kentucky 9.7 109 52 16.3 Louisiana 15.4 249 66 22.2 Maine 2.1 83 51 7.8 Maryland 11.3 300 67 27.8 Massachusetts 4.4 149 85 16.3 Michigan 12.1 255 74 35.1 Minnesota 2.7 72 66 14.9 Mississippi 16.1 259 44 17.1 Missouri 9.0 178 70 28.2 Montana 6.0 109 53 16.4 Nebraska 4.3 102 62 16.5 Nevada 12.2 252 81 46.0 New Hampshire 2.1 57 56 9.5 New Jersey 7.4 159 89 18.8 New Mexico 11.4 285 70 32.1 New York 11.1 254 86 26.1 North Carolina 13.0 337 45 16.1 North Dakota 0.8 45 44 7.3 Ohio 7.3 120 75 21.4 Oklahoma 6.6 151 68 20.0 Oregon 4.9 159 67 29.3 Pennsylvania 6.3 106 72 14.9 Rhode Island 3.4 174 87 8.3 South Carolina 14.4 279 48 22.5 South Dakota 3.8 86 45 12.8 Tennessee 13.2 188 59 26.9 Texas 12.7 201 80 25.5 Utah 3.2 120 80 22.9 Vermont 2.2 48 32 11.2 Virginia 8.5 156 63 20.7 Washington 4.0 145 73 26.2 West Virginia 5.7 81 39 9.3 Wisconsin 2.6 53 66 10.8 Wyoming 6.8 161 60 15.6 > sqlQuery(channel, 'select "State", "Murder" from "USArrests" where "Rape" > 30 order by "Murder"') State Murder 1 Colorado 7.9 2 Arizona 8.1 3 California 9.0 4 Alaska 10.0 5 New Mexico 11.4 6 Michigan 12.1 7 Nevada 12.2 8 Florida 15.4 > foo <- cbind(State=row.names(USArrests), USArrests)[1:3, c(1,3)] > foo[1,2] <- 236 > sqlUpdate(channel, foo, "USArrests") > sqlFetch(channel, "USArrests", rownames = "State", max = 5) Murder Assault UrbanPop Rape Alabama 13.2 236 58 21.2 Alaska 10.0 263 48 44.5 Arizona 8.1 294 80 31.0 Arkansas 8.8 190 50 19.5 California 9.0 276 91 40.6 > sqlFetchMore(channel, rownames = "State", max = 8) Murder Assault UrbanPop Rape Colorado 7.9 204 78 38.7 Connecticut 3.3 110 77 11.1 Delaware 5.9 238 72 15.8 Florida 15.4 335 80 31.9 Georgia 17.4 211 60 25.8 Hawaii 5.3 46 83 20.2 Idaho 2.6 120 54 14.2 Illinois 10.4 249 83 24.0 > sqlDrop(channel, "USArrests") > > Btest <- Atest <- + data.frame(x = c(paste(1:100, collapse="+"), letters[2:4]), rn=1:4) > Btest[,1] <- Atest[c(4,1:3),1] > sqlDrop(channel, "Atest", errors = FALSE) > ## max for varchar is 32672, 254 for char > colspec <- list(character="varchar(1000)", double="double", + integer="integer", logical="varchar(5)") > sqlSave(channel, Atest, typeInfo = colspec) > sqlColumns(channel, "Atest") TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME COLUMN_SIZE 1 RIPLEY Atest rownames 12 VARCHAR 1000 2 RIPLEY Atest x 12 VARCHAR 1000 3 RIPLEY Atest rn 4 INTEGER 10 BUFFER_LENGTH DECIMAL_DIGITS NUM_PREC_RADIX NULLABLE REMARKS COLUMN_DEF 1 1000 NA NA 1 2 1000 NA NA 1 3 4 0 10 1 SQL_DATA_TYPE SQL_DATETIME_SUB CHAR_OCTET_LENGTH ORDINAL_POSITION IS_NULLABLE 1 12 NA 1000 1 YES 2 12 NA 1000 2 YES 3 4 NA NA 3 YES > sqlFetch(channel, "Atest") x 1 1+2+3+4+5+6+7+8+9+10+11+12+13+14+15+16+17+18+19+20+21+22+23+24+25+26+27+28+29+30+31+32+33+34+35+36+37+38+39+40+41+42+43+44+45+46+47+48+49+50+51+52+53+54+55+56+57+58+59+60+61+62+63+64+65+66+67+68+69+70+71+72+73+74+75+76+77+78+79+80+81+82+83+84+85+86+87+88+89+90+91+92+93+94+95+96+97+98+99+100 2 b 3 c 4 d rn 1 1 2 2 3 3 4 4 > sqlUpdate(channel, Btest, "Atest", index = "rn") > sqlFetch(channel, "Atest") x 1 d 2 1+2+3+4+5+6+7+8+9+10+11+12+13+14+15+16+17+18+19+20+21+22+23+24+25+26+27+28+29+30+31+32+33+34+35+36+37+38+39+40+41+42+43+44+45+46+47+48+49+50+51+52+53+54+55+56+57+58+59+60+61+62+63+64+65+66+67+68+69+70+71+72+73+74+75+76+77+78+79+80+81+82+83+84+85+86+87+88+89+90+91+92+93+94+95+96+97+98+99+100 3 b 4 c rn 1 1 2 2 3 3 4 4 > sqlDrop(channel, "Atest") > varspec <- "varchar(1000)"; names(varspec) <- "x" > sqlSave(channel, Atest, varTypes = varspec) > sqlColumns(channel, "Atest") TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME COLUMN_SIZE 1 RIPLEY Atest rownames 12 VARCHAR 255 2 RIPLEY Atest x 12 VARCHAR 1000 3 RIPLEY Atest rn 4 INTEGER 10 BUFFER_LENGTH DECIMAL_DIGITS NUM_PREC_RADIX NULLABLE REMARKS COLUMN_DEF 1 255 NA NA 1 2 1000 NA NA 1 3 4 0 10 1 SQL_DATA_TYPE SQL_DATETIME_SUB CHAR_OCTET_LENGTH ORDINAL_POSITION IS_NULLABLE 1 12 NA 255 1 YES 2 12 NA 1000 2 YES 3 4 NA NA 3 YES > sqlFetch(channel, "Atest") x 1 1+2+3+4+5+6+7+8+9+10+11+12+13+14+15+16+17+18+19+20+21+22+23+24+25+26+27+28+29+30+31+32+33+34+35+36+37+38+39+40+41+42+43+44+45+46+47+48+49+50+51+52+53+54+55+56+57+58+59+60+61+62+63+64+65+66+67+68+69+70+71+72+73+74+75+76+77+78+79+80+81+82+83+84+85+86+87+88+89+90+91+92+93+94+95+96+97+98+99+100 2 b 3 c 4 d rn 1 1 2 2 3 3 4 4 > sqlDrop(channel, "Atest") > > dates <- as.character(seq(as.Date("2004-01-01"), by="week", length=10)) > times <- paste(1:10, "05", "00", sep=":") > dt <- as.POSIXct(paste(dates, times)) > dt <- dt + round(runif(10), 3) > Dtest <- data.frame(dates, times, dt, logi=c(TRUE, NA, FALSE, FALSE, FALSE)) > varspec <- c("date", "time", "timestamp", "varchar(5)") > names(varspec) <- names(Dtest) > sqlDrop(channel, "Dtest", errors = FALSE) > sqlSave(channel, Dtest, varTypes = varspec) > sqlColumns(channel, "Dtest") TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME COLUMN_SIZE 1 RIPLEY Dtest rownames 12 VARCHAR 255 2 RIPLEY Dtest dates 91 DATE 10 3 RIPLEY Dtest times 92 TIME 8 4 RIPLEY Dtest dt 93 TIMESTAMP 26 5 RIPLEY Dtest logi 12 VARCHAR 5 BUFFER_LENGTH DECIMAL_DIGITS NUM_PREC_RADIX NULLABLE REMARKS COLUMN_DEF 1 255 NA NA 1 2 6 NA NA 1 3 6 0 NA 1 4 16 6 NA 1 5 5 NA NA 1 SQL_DATA_TYPE SQL_DATETIME_SUB CHAR_OCTET_LENGTH ORDINAL_POSITION IS_NULLABLE 1 12 NA 255 1 YES 2 9 1 NA 2 YES 3 9 2 NA 3 YES 4 9 3 NA 4 YES 5 12 NA 5 5 YES > sqlFetch(channel, "Dtest") dates times dt logi 1 2004-01-01 01:05:00 2004-01-01 01:05:00.371 TRUE 2 2004-01-08 02:05:00 2004-01-08 02:05:00.572 NA 3 2004-01-15 03:05:00 2004-01-15 03:05:00.907 FALSE 4 2004-01-22 04:05:00 2004-01-22 04:05:00.200 FALSE 5 2004-01-29 05:05:00 2004-01-29 05:05:00.898 FALSE 6 2004-02-05 06:05:00 2004-02-05 06:05:00.944 TRUE 7 2004-02-12 07:05:00 2004-02-12 07:05:00.661 NA 8 2004-02-19 08:05:00 2004-02-19 08:05:00.628 FALSE 9 2004-02-26 09:05:00 2004-02-26 09:05:00.062 FALSE 10 2004-03-04 10:05:00 2004-03-04 10:05:00.206 FALSE > sqlDrop(channel, "Dtest") > Dtest <- data.frame(dates, times, dt, logi=c(TRUE, NA, FALSE, FALSE, FALSE)) > varspec <- c("date", "time", "timestamp", "varchar(5)") > names(varspec) <- names(Dtest) > sqlDrop(channel, "Dtest", errors = FALSE) > sqlSave(channel, Dtest, varTypes = varspec, fast = FALSE) > sqlColumns(channel, "Dtest") TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME COLUMN_SIZE 1 RIPLEY Dtest rownames 12 VARCHAR 255 2 RIPLEY Dtest dates 91 DATE 10 3 RIPLEY Dtest times 92 TIME 8 4 RIPLEY Dtest dt 93 TIMESTAMP 26 5 RIPLEY Dtest logi 12 VARCHAR 5 BUFFER_LENGTH DECIMAL_DIGITS NUM_PREC_RADIX NULLABLE REMARKS COLUMN_DEF 1 255 NA NA 1 2 6 NA NA 1 3 6 0 NA 1 4 16 6 NA 1 5 5 NA NA 1 SQL_DATA_TYPE SQL_DATETIME_SUB CHAR_OCTET_LENGTH ORDINAL_POSITION IS_NULLABLE 1 12 NA 255 1 YES 2 9 1 NA 2 YES 3 9 2 NA 3 YES 4 9 3 NA 4 YES 5 12 NA 5 5 YES > sqlFetch(channel, "Dtest") dates times dt logi 1 2004-01-01 01:05:00 2004-01-01 01:05:00.371 TRUE 2 2004-01-08 02:05:00 2004-01-08 02:05:00.572 NA 3 2004-01-15 03:05:00 2004-01-15 03:05:00.907 FALSE 4 2004-01-22 04:05:00 2004-01-22 04:05:00.200 FALSE 5 2004-01-29 05:05:00 2004-01-29 05:05:00.898 FALSE 6 2004-02-05 06:05:00 2004-02-05 06:05:00.944 TRUE 7 2004-02-12 07:05:00 2004-02-12 07:05:00.661 NA 8 2004-02-19 08:05:00 2004-02-19 08:05:00.628 FALSE 9 2004-02-26 09:05:00 2004-02-26 09:05:00.062 FALSE 10 2004-03-04 10:05:00 2004-03-04 10:05:00.206 FALSE > sqlDrop(channel, "Dtest") > > sqlDrop(channel, "hills test", errors = FALSE) > sqlSave(channel, hills, "hills test", verbose=TRUE) Query: CREATE TABLE "hills test" ("rownames" VARCHAR(255), "dist" DOUBLE, "climb" INTEGER, "time" DOUBLE) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( ?,?,?,? ) Binding: 'rownames' DataType 12, ColSize 255 Binding: 'dist' DataType 8, ColSize 53 Binding: 'climb' DataType 4, ColSize 10 Binding: 'time' DataType 8, ColSize 53 Parameters: no: 1: rownames Greenmantle/***/no: 2: dist 2.5/***/no: 3: climb 650/***/no: 4: time 16.083/***/ no: 1: rownames Carnethy/***/no: 2: dist 6/***/no: 3: climb 2500/***/no: 4: time 48.35/***/ no: 1: rownames Craig Dunain/***/no: 2: dist 6/***/no: 3: climb 900/***/no: 4: time 33.65/***/ no: 1: rownames Ben Rha/***/no: 2: dist 7.5/***/no: 3: climb 800/***/no: 4: time 45.6/***/ no: 1: rownames Ben Lomond/***/no: 2: dist 8/***/no: 3: climb 3070/***/no: 4: time 62.267/***/ no: 1: rownames Goatfell/***/no: 2: dist 8/***/no: 3: climb 2866/***/no: 4: time 73.217/***/ no: 1: rownames Bens of Jura/***/no: 2: dist 16/***/no: 3: climb 7500/***/no: 4: time 204.617/***/ no: 1: rownames Cairnpapple/***/no: 2: dist 6/***/no: 3: climb 800/***/no: 4: time 36.367/***/ no: 1: rownames Scolty/***/no: 2: dist 5/***/no: 3: climb 800/***/no: 4: time 29.75/***/ no: 1: rownames Traprain/***/no: 2: dist 6/***/no: 3: climb 650/***/no: 4: time 39.75/***/ no: 1: rownames Lairig Ghru/***/no: 2: dist 28/***/no: 3: climb 2100/***/no: 4: time 192.667/***/ no: 1: rownames Dollar ('$')/***/no: 2: dist 5/***/no: 3: climb 2000/***/no: 4: time 43.05/***/ no: 1: rownames Lomonds/***/no: 2: dist 9.5/***/no: 3: climb 2200/***/no: 4: time 65/***/ no: 1: rownames Cairn Table/***/no: 2: dist 6/***/no: 3: climb 500/***/no: 4: time 44.133/***/ no: 1: rownames Eildon Two/***/no: 2: dist 4.5/***/no: 3: climb 1500/***/no: 4: time 26.933/***/ > sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=TRUE) Query: UPDATE "hills test" SET "dist"=?, "climb"=?, "time"=? WHERE "rownames"=? Binding: 'dist' DataType 8, ColSize 53 Binding: 'climb' DataType 4, ColSize 10 Binding: 'time' DataType 8, ColSize 53 Binding: 'rownames' DataType 12, ColSize 255 Parameters: no: 1: dist 28/***/no: 2: climb 2100/***/no: 3: time 192.667/***/no: 4: rownames Lairig Ghru/***/ no: 1: dist 5/***/no: 2: climb 2000/***/no: 3: time 43.05/***/no: 4: rownames Dollar ('$')/***/ no: 1: dist 9.5/***/no: 2: climb 2200/***/no: 3: time 65/***/no: 4: rownames Lomonds/***/ no: 1: dist 6/***/no: 2: climb 500/***/no: 3: time 44.133/***/no: 4: rownames Cairn Table/***/ no: 1: dist 4.5/***/no: 2: climb 1500/***/no: 3: time 26.933/***/no: 4: rownames Eildon Two/***/ > sqlFetch(channel, "hills test") dist climb time Greenmantle 2.5 650 16.083 Carnethy 6.0 2500 48.350 Craig Dunain 6.0 900 33.650 Ben Rha 7.5 800 45.600 Ben Lomond 8.0 3070 62.267 Goatfell 8.0 2866 73.217 Bens of Jura 16.0 7500 204.617 Cairnpapple 6.0 800 36.367 Scolty 5.0 800 29.750 Traprain 6.0 650 39.750 Lairig Ghru 28.0 2100 192.667 Dollar ('$') 5.0 2000 43.050 Lomonds 9.5 2200 65.000 Cairn Table 6.0 500 44.133 Eildon Two 4.5 1500 26.933 > sqlDrop(channel, "hills test") > sqlSave(channel, hills, "hills test", verbose=TRUE, fast=FALSE) Query: CREATE TABLE "hills test" ("rownames" VARCHAR(255), "dist" DOUBLE, "climb" INTEGER, "time" DOUBLE) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Greenmantle', 2.5, 650, 16.083 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Carnethy', 6.0, 2500, 48.350 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Craig Dunain', 6.0, 900, 33.650 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Ben Rha', 7.5, 800, 45.600 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Ben Lomond', 8.0, 3070, 62.267 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Goatfell', 8.0, 2866, 73.217 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Bens of Jura', 16.0, 7500, 204.617 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Cairnpapple', 6.0, 800, 36.367 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Scolty', 5.0, 800, 29.750 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Traprain', 6.0, 650, 39.750 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Lairig Ghru', 28.0, 2100, 192.667 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Dollar (''$'')', 5.0, 2000, 43.050 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Lomonds', 9.5, 2200, 65.000 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Cairn Table', 6.0, 500, 44.133 ) Query: INSERT INTO "hills test" ( "rownames", "dist", "climb", "time" ) VALUES ( 'Eildon Two', 4.5, 1500, 26.933 ) > sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=FALSE) Query: UPDATE "hills test" SET "dist"=28.0, "climb"=2100, "time"=192.667 WHERE "rownames"='Lairig Ghru' Query: UPDATE "hills test" SET "dist"= 5.0, "climb"=2000, "time"= 43.050 WHERE "rownames"='Dollar (''$'')' Query: UPDATE "hills test" SET "dist"= 9.5, "climb"=2200, "time"= 65.000 WHERE "rownames"='Lomonds' Query: UPDATE "hills test" SET "dist"= 6.0, "climb"= 500, "time"= 44.133 WHERE "rownames"='Cairn Table' Query: UPDATE "hills test" SET "dist"= 4.5, "climb"=1500, "time"= 26.933 WHERE "rownames"='Eildon Two' > sqlDrop(channel, "hills test") > > sqlTables(channel, catalog="", schema="", tableName="", tableType="%") TABLE_CAT TABLE_SCHEM TABLE_NAME TABLE_TYPE REMARKS 1 ALIAS 2 HIERARCHY TABLE 3 INOPERATIVE VIEW 4 MATERIALIZED QUERY TABLE 5 NICKNAME 6 SYSTEM TABLE 7 TABLE 8 TYPED TABLE 9 TYPED VIEW 10 VIEW > ## case matters here > # sqlQuery(channel, "create schema TEST2") > sqlTables(channel, catalog="", schema="%", tableName="") TABLE_CAT TABLE_SCHEM TABLE_NAME TABLE_TYPE REMARKS 1 NULLID 2 RIPLEY 3 SQLJ 4 SYSCAT 5 SYSFUN 6 SYSIBM 7 SYSIBMADM 8 SYSIBMINTERNAL 9 SYSIBMTS 10 SYSPROC 11 SYSPUBLIC 12 SYSSTAT 13 SYSTOOLS 14 TEST2 > sqlSave(channel, women, "TEST2.WOMEN") > sqlTables(channel, catalog="", schema="%", tableName="") TABLE_CAT TABLE_SCHEM TABLE_NAME TABLE_TYPE REMARKS 1 NULLID 2 RIPLEY 3 SQLJ 4 SYSCAT 5 SYSFUN 6 SYSIBM 7 SYSIBMADM 8 SYSIBMINTERNAL 9 SYSIBMTS 10 SYSPROC 11 SYSPUBLIC 12 SYSSTAT 13 SYSTOOLS 14 TEST2 > sqlTables(channel, tableType="TABLE") TABLE_CAT TABLE_SCHEM TABLE_NAME TABLE_TYPE REMARKS 1 SYSTOOLS HMON_ATM_INFO TABLE 2 SYSTOOLS HMON_COLLECTION TABLE 3 SYSTOOLS POLICY TABLE 4 TEST2 WOMEN TABLE > sqlTables(channel, schema="TEST2") TABLE_CAT TABLE_SCHEM TABLE_NAME TABLE_TYPE REMARKS 1 TEST2 WOMEN TABLE > sqlDrop(channel, "TEST2.WOMEN") > > close(channel) RODBC/tests/SQLServer.RR0000644000176000001440000000612511754561777014420 0ustar ripleyusers##-*- R -*- library(RODBC) library(MASS) USArrests[1,2] <- NA hills <- hills[1:15,] row.names(hills)[12] <- "Dollar ('$')" # SQL Server 2008 Express Edition channel <- odbcConnect("SQLServer") if(!inherits(channel, "RODBC")) q("no") odbcGetInfo(channel) # sqlTables(channel, schema="dbo") sqlTables(channel, tableType="TABLE") sqlDrop(channel, "USArrests", errors = FALSE) sqlSave(channel, USArrests, addPK = TRUE) sqlTables(channel, tableType="TABLE") sqlColumns(channel, "USArrests") sqlPrimaryKeys(channel, "USArrests") sqlFetch(channel, "USArrests") query <- paste("select rownames, murder from USArrests", "where Rape > 30", "order by Murder") sqlQuery(channel, query) sqlCopy(channel, query, "HighRape", rownames = FALSE) sqlFetch(channel, "HighRape", max = 5) # sqlTables(channel) sqlDrop(channel, "HighRape") foo <- USArrests[1:3, 2, drop = FALSE] foo[1,1] <- 236 sqlUpdate(channel, foo, "USArrests") sqlFetch(channel, "USArrests", max = 5) sqlFetchMore(channel, max = 8) sqlDrop(channel, "USArrests") Btest <- Atest <- data.frame(x = c(paste(1:100, collapse="+"), letters[2:4]), rn=1:4) Btest[,1] <- Atest[c(4,1:3),1] sqlDrop(channel, "Atest", errors = FALSE) ## char and varchar max is 8000 colspec <- list(character="varchar(1000)", double="float", integer="int", logical="varchar(5)") sqlSave(channel, Atest, typeInfo = colspec) sqlColumns(channel, "Atest") sqlFetch(channel, "Atest") sqlUpdate(channel, Btest, "Atest", index = "rn") sqlFetch(channel, "Atest") sqlDrop(channel, "Atest") varspec <- "varchar(1000)"; names(varspec) <- "x" sqlSave(channel, Atest, varTypes = varspec) sqlColumns(channel, "Atest") sqlFetch(channel, "Atest") sqlDrop(channel, "Atest") dates <- as.character(seq(as.Date("2004-01-01"), by="week", length=10)) times <- paste(1:10, "05", "00", sep=":") Dtest <- data.frame(dates, times, logi=c(TRUE, NA, FALSE, FALSE, FALSE)) sqlDrop(channel, "Dtest", errors = FALSE) varspec <- c("smalldatetime", "smalldatetime", "varchar(5)") names(varspec) <- names(Dtest) # fast = TRUE fails, claims data is invalid sqlSave(channel, Dtest, varTypes = varspec, verbose=TRUE, fast=FALSE) sqlColumns(channel, "Dtest") sqlFetch(channel, "Dtest") sqlDrop(channel, "Dtest") sqlDrop(channel, "hills test", errors = FALSE) sqlSave(channel, hills, "hills test", verbose=TRUE) sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=TRUE) sqlFetch(channel, "hills test") sqlDrop(channel, "hills test") sqlSave(channel, hills, "hills test", verbose=TRUE, fast=FALSE) sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=FALSE) sqlDrop(channel, "hills test") sqlTables(channel, catalog="", schema="", tableName="", tableType="%") sqlTables(channel, catalog="%", schema="", tableName="") # sqlQuery(channel, "create schema test2") ## only list schemas which contain objects sqlTables(channel, catalog="", schema="%", tableName="") ## list all schema sqlQuery(channel, "select * from sys.schemas") sqlSave(channel, women, "test2.women") sqlTables(channel, catalog="", schema="%", tableName="") sqlTables(channel, tableType="TABLE") sqlDrop(channel, "test2.women") close(channel) RODBC/configure.ac0000644000176000001440000000532114120453204013415 0ustar ripleyusers# original by Friedrich Leisch, much changed by BDR AC_INIT([RODBC],[1.3],[ripley@stats.ox.ac.uk]) dnl A user-specifiable option odbc_mgr="" AC_ARG_WITH([odbc-manager], AS_HELP_STRING([--with-odbc-manager=MGR],[specify the ODBC manager, e.g. odbc or iodbc]), [odbc_mgr=$withval]) if test "$odbc_mgr" = "odbc" ; then AC_PATH_PROGS(ODBC_CONFIG, odbc_config) fi dnl Select an optional include path, from a configure option dnl or from an environment variable. AC_ARG_WITH([odbc-include], AS_HELP_STRING([--with-odbc-include=INCLUDE_PATH],[the location of ODBC header files]), [odbc_include_path=$withval]) RODBC_CPPFLAGS="-I." if test [ -n "$odbc_include_path" ] ; then RODBC_CPPFLAGS="-I. -I${odbc_include_path}" else if test [ -n "${ODBC_INCLUDE}" ] ; then RODBC_CPPFLAGS="-I. -I${ODBC_INCLUDE}" else if test -n "${ODBC_CONFIG}"; then RODBC_CPPFLAGS=`odbc_config --cflags` RODBC_CPPFLAGS="-I. ${RODBC_CPPFLAGS}" fi fi fi dnl ditto for a library path AC_ARG_WITH([odbc-lib], AS_HELP_STRING([--with-odbc-lib=LIB_PATH],[the location of ODBC libraries]), [odbc_lib_path=$withval]) if test [ -n "$odbc_lib_path" ] ; then LIBS="-L${odbc_lib_path} ${LIBS}" else if test [ -n "${ODBC_LIBS}" ] ; then LIBS="-L${ODBC_LIBS} ${LIBS}" else if test -n "${ODBC_CONFIG}"; then odbc_lib_path=`odbc_config --libs | sed s/-lodbc//` LIBS="${odbc_lib_path} ${LIBS}" fi fi fi dnl Now find the compiler and compiler flags to use : ${R_HOME=`R RHOME`} if test -z "${R_HOME}"; then echo "could not determine R_HOME" exit 1 fi CC=`"${R_HOME}/bin/R" CMD config CC` CFLAGS=`"${R_HOME}/bin/R" CMD config CFLAGS` CPPFLAGS=`"${R_HOME}/bin/R" CMD config CPPFLAGS` CPPFLAGS="${CPPFLAGS} ${RODBC_CPPFLAGS}" dnl Check the headers can be found AC_CHECK_HEADERS(sql.h sqlext.h) if test "${ac_cv_header_sql_h}" = no || test "${ac_cv_header_sqlext_h}" = no; then AC_MSG_ERROR("ODBC headers sql.h and sqlext.h not found") fi dnl search for a library containing an ODBC function if test [ -n "${odbc_mgr}" ] ; then AC_SEARCH_LIBS(SQLTables, ${odbc_mgr}, , AC_MSG_ERROR("ODBC driver manager '${odbc_mgr}' not found")) else AC_SEARCH_LIBS(SQLTables, odbc odbc32 iodbc, , AC_MSG_ERROR("no ODBC driver manager found")) fi dnl for 64-bit ODBC need SQL[U]LEN, and it is unclear where they are defined. AC_CHECK_TYPES([SQLLEN, SQLULEN], , , [# include ]) dnl for unixODBC header AC_CHECK_SIZEOF(long, 4) dnl substitute RODBC_CPPFLAGS and LIBS AC_SUBST(RODBC_CPPFLAGS) AC_SUBST(LIBS) AC_CONFIG_HEADERS([src/config.h]) dnl and do subsitution in the src/Makevars.in and src/config.h AC_CONFIG_FILES([src/Makevars]) AC_OUTPUT RODBC/src/0000755000176000001440000000000014120634134011720 5ustar ripleyusersRODBC/src/config.h.win0000644000176000001440000000311211754561777014155 0ustar ripleyusers/* Define to 1 if you have the header file. */ #undef HAVE_INTTYPES_H /* Define to 1 if you have the header file. */ #undef HAVE_MEMORY_H /* Define to 1 if you have the header file. */ #define HAVE_SQLEXT_H 1 /* Define to 1 if the system has the type `SQLLEN'. */ #define HAVE_SQLLEN 1 /* Define to 1 if the system has the type `SQLULEN'. */ #define HAVE_SQLULEN 1 /* Define to 1 if you have the header file. */ #define HAVE_SQL_H 1 /* Define to 1 if you have the header file. */ #undef HAVE_STDINT_H /* Define to 1 if you have the header file. */ #undef HAVE_STDLIB_H /* Define to 1 if you have the header file. */ #undef HAVE_STRINGS_H /* Define to 1 if you have the header file. */ #undef HAVE_STRING_H /* Define to 1 if you have the header file. */ #undef HAVE_SYS_STAT_H /* Define to 1 if you have the header file. */ #undef HAVE_SYS_TYPES_H /* Define to 1 if you have the header file. */ #undef HAVE_UNISTD_H /* Define to the address where bug reports for this package should be sent. */ #undef PACKAGE_BUGREPORT /* Define to the full name of this package. */ #undef PACKAGE_NAME /* Define to the full name and version of this package. */ #undef PACKAGE_STRING /* Define to the one symbol short name of this package. */ #undef PACKAGE_TARNAME /* Define to the version of this package. */ #undef PACKAGE_VERSION /* The size of a `long', as computed by sizeof. */ #define SIZEOF_LONG 8 /* Define to 1 if you have the ANSI C header files. */ #undef STDC_HEADERS RODBC/src/Makevars.win0000644000176000001440000000004311754561777014233 0ustar ripleyusersPKG_CPPFLAGS=-I. PKG_LIBS=-lodbc32 RODBC/src/RODBC.c0000644000176000001440000013266113743312507012735 0ustar ripleyusers/* * RODDC/src/RODBC.c * M. Lapsley Copyright (C) 1999-2002 * B. D. Ripley Copyright (C) 2002-2017 * * This program is free software; you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation; either version 2 of the License, or * (at your option) any later version. * * This program is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * A copy of the GNU General Public License is available at * http://www.r-project.org/Licenses/ */ /* RODBC low level interface * */ #include "config.h" #include #include #include #include #include #include #ifdef WIN32 # include # undef ERROR /* enough of the internals of graphapp objects to allow us to find the handle of the RGui main window */ typedef struct objinfo { int kind, refcount; HANDLE handle; } *window; __declspec(dllimport) window RConsole; #else # include #endif #include #include /* for INT_MAX */ #define MAX_CHANNELS 1000 #include #include #include #include //#include #ifdef ENABLE_NLS #include #define _(String) dgettext ("RODBC", String) #define gettext_noop(String) String #else #define _(String) (String) #define gettext_noop(String) String #endif #define my_min(a,b) ((a < b)?a:b) #define COLMAX 256 #ifndef SQL_NO_DATA # define SQL_NO_DATA_FOUND /* for iODBC */ #endif #define NCOLS thisHandle->nColumns /* save some column space for typing*/ #define NROWS thisHandle->nRows /* For 64-bit ODBC, Microsoft did some redefining, see http://msdn.microsoft.com/library/default.asp?url=/library/en-us/odbc/htm/dasdkodbcoverview_64bit.asp Some people think this corresponded to increasing the version to 3.52, but none of MinGW, unixODBC or iodbc seem to have done so. Given that, how do we know what these mean? MinGW[-w64]: if _WIN64 is defined, they are 64-bit, otherwise (unsigned) long. unixODBC: if SIZEOF_LONG == 8 && BUILD_REAL_64_BIT_MODE they are 64-bit. In applications, SIZEOF_LONG == 8 is determined by if defined(__alpha) || defined(__sparcv9) || defined(__LP64__) We have no way of knowing if BUILD_REAL_64_BIT_MODE was defined, but Debian which does define also modifies the headers. iobdc: if _WIN64 is defined, they are 64-bit Otherwise, they are (unsigned) long. */ #ifndef HAVE_SQLLEN #define SQLLEN SQLINTEGER #endif #ifndef HAVE_SQLULEN #define SQLULEN SQLUINTEGER #endif /* Note that currently we will allocate large buffers for long char types whatever rows_at_time is. */ #define MAX_ROWS_FETCH 1024 typedef struct cols { SQLCHAR ColName[256]; SQLSMALLINT NameLength; SQLSMALLINT DataType; SQLULEN ColSize; SQLSMALLINT DecimalDigits; SQLSMALLINT Nullable; char *pData; int datalen; SQLDOUBLE RData [MAX_ROWS_FETCH]; SQLREAL R4Data[MAX_ROWS_FETCH]; SQLINTEGER IData [MAX_ROWS_FETCH]; SQLSMALLINT I2Data[MAX_ROWS_FETCH]; SQLLEN IndPtr[MAX_ROWS_FETCH]; } COLUMNS; typedef struct mess { SQLCHAR *message; struct mess *next; } SQLMSG; typedef struct rodbcHandle { SQLHDBC hDbc; /* connection handle */ SQLHSTMT hStmt; /* statement handle */ SQLLEN nRows; /* number of rows and columns in result set */ SQLSMALLINT nColumns; int channel; /* as stored on the R-level object */ int id; /* ditto */ int useNRows; /* value of believeNRows */ /* entries used to bind data for result sets and updates */ COLUMNS *ColData; /* this will be allocated as an array */ int nAllocated; /* how many cols were allocated */ SQLUINTEGER rowsFetched; /* use to indicate the number of rows fetched */ SQLUINTEGER rowArraySize; /* use to indicate the number of rows we expect back */ SQLUINTEGER rowsUsed; /* for when we fetch more than we need */ SQLMSG *msglist; /* root of linked list of messages */ SEXP extPtr; /* address of external pointer for this channel, so we can clear it */ } RODBCHandle, *pRODBCHandle; static unsigned int nChannels = 0; /* number of channels opened in session */ static pRODBCHandle opened_handles[MAX_CHANNELS+1]; static SQLHENV hEnv=NULL; /* forward declarations */ static void geterr(pRODBCHandle thisHandle); static void errorFree(SQLMSG *node); static void errlistAppend(pRODBCHandle thisHandle, const char *string); static int cachenbind(pRODBCHandle thisHandle, int nRows); /* Error messages */ static char err_SQLAllocStmt[]=gettext_noop("[RODBC] ERROR: Could not SQLAllocStmt"); /* called at first connection or first listing of data sources */ static void odbcInit(void) { SQLRETURN retval; if(!hEnv) { retval = SQLAllocHandle(SQL_HANDLE_ENV, SQL_NULL_HANDLE, &hEnv); if(retval == SQL_SUCCESS || retval == SQL_SUCCESS_WITH_INFO) { SQLSetEnvAttr(hEnv, SQL_ATTR_ODBC_VERSION, (SQLPOINTER) SQL_OV_ODBC3, SQL_IS_INTEGER); } else error(_("[RODBC] ERROR: Could not SQLAllocEnv")); } } /* called from .onUnload */ SEXP RODBCTerm(void) { if(!hEnv) SQLFreeHandle(SQL_HANDLE_ENV, hEnv); return R_NilValue; } /* called before SQL queries (indirect and direct) */ static void clearresults(pRODBCHandle thisHandle) { if(thisHandle->hStmt) { (void)SQLFreeStmt(thisHandle->hStmt, SQL_CLOSE); (void)SQLFreeHandle(SQL_HANDLE_STMT, thisHandle->hStmt); thisHandle->hStmt = NULL; } errorFree(thisHandle->msglist); thisHandle->msglist=NULL; } SEXP RODBCclearresults(SEXP chan) { clearresults(R_ExternalPtrAddr(chan)); return R_NilValue; } /********************************************** * CONNECT * returns channel no in stat * or -1 on error * saves connect data in handles[channel] * * ***************************************/ static void chanFinalizer(SEXP ptr); #define buf1_len 8096 SEXP RODBCDriverConnect(SEXP connection, SEXP id, SEXP useNRows, SEXP ReadOnly) { SEXP ans; SQLSMALLINT tmp1; SQLRETURN retval; SQLCHAR buf1[buf1_len]; pRODBCHandle thisHandle; PROTECT(ans = allocVector(INTSXP, 1)); INTEGER(ans)[0] = -1; if(!isString(connection)) { warning(_("[RODBC] ERROR:invalid connection argument")); UNPROTECT(1); return ans; } thisHandle = Calloc(1, RODBCHandle); ++nChannels; odbcInit(); retval = SQLAllocHandle(SQL_HANDLE_DBC, hEnv, &thisHandle->hDbc); if(retval == SQL_SUCCESS || retval == SQL_SUCCESS_WITH_INFO) { if(asLogical(ReadOnly)) SQLSetConnectAttr(thisHandle->hDbc, SQL_ATTR_ACCESS_MODE, (SQLPOINTER) SQL_MODE_READ_ONLY, 0); retval = SQLDriverConnect(thisHandle->hDbc, #ifdef WIN32 RConsole ? RConsole->handle : NULL, #else NULL, #endif /* This loses the const, but although the declaration is not (const SQLCHAR *), it should be. */ (SQLCHAR *) translateChar(STRING_ELT(connection, 0)), SQL_NTS, (SQLCHAR *) buf1, (SQLSMALLINT) buf1_len, &tmp1, #ifdef WIN32 RConsole ? SQL_DRIVER_COMPLETE : SQL_DRIVER_NOPROMPT #else SQL_DRIVER_NOPROMPT #endif ); if(retval == SQL_SUCCESS || retval == SQL_SUCCESS_WITH_INFO) { SEXP constr, ptr; ptr = R_MakeExternalPtr(thisHandle, install("RODBC_channel"), R_NilValue); PROTECT(ptr); R_RegisterCFinalizerEx(ptr, chanFinalizer, TRUE); PROTECT(constr = allocVector(STRSXP, 1)); SET_STRING_ELT(constr, 0, mkChar((char *)buf1)); thisHandle->nColumns = -1; thisHandle->channel = nChannels; thisHandle->useNRows = asInteger(useNRows); thisHandle->id = asInteger(id); thisHandle->extPtr = ptr; /* return the channel no */ INTEGER(ans)[0] = nChannels; /* and the connection string as an attribute */ setAttrib(ans, install("connection.string"), constr); setAttrib(ans, install("handle_ptr"), ptr); /* Rprintf("opening %d (%p, %p)\n", nChannels, ptr, thisHandle); */ if(nChannels <= MAX_CHANNELS) opened_handles[nChannels] = thisHandle; UNPROTECT(3); return ans; } else { if (retval == SQL_ERROR) { SQLCHAR state[6], msg[1000]; SQLSMALLINT buffsize=1000, msglen, i=1; SQLINTEGER code; while(1) { retval = SQLGetDiagRec(SQL_HANDLE_DBC, thisHandle->hDbc, i++, state, &code, msg, buffsize, &msglen); if(retval == SQL_NO_DATA_FOUND) break; warning(_("[RODBC] ERROR: state %s, code %d, message %s"), state, code, msg); } } else warning(_("[RODBC] ERROR: Could not SQLDriverConnect")); (void)SQLFreeHandle(SQL_HANDLE_DBC, thisHandle->hDbc); } } else { warning(_("[RODBC] ERROR: Could not SQLAllocConnect")); } UNPROTECT(1); return ans; } /********************************************************** * * QUERY * run the query on channel pointed to by chan * cache rols and cols returned in handles[channel] * cache col descriptor data in handles[channel].ColData * return -1 in stat on error or 1 * *****************************************************/ SEXP RODBCQuery(SEXP chan, SEXP query, SEXP sRows) { pRODBCHandle thisHandle = R_ExternalPtrAddr(chan); SQLRETURN res; int nRows = asInteger(sRows), stat = 1; const char *cquery; if(nRows == NA_INTEGER || nRows < 1) nRows = 1; clearresults(thisHandle); res = SQLAllocHandle(SQL_HANDLE_STMT, thisHandle->hDbc, &thisHandle->hStmt); if( res != SQL_SUCCESS && res != SQL_SUCCESS_WITH_INFO ) { errlistAppend(thisHandle, err_SQLAllocStmt); stat = -1; } else { cquery = translateChar(STRING_ELT(query, 0)); /* another case of a missing 'const' */ res = SQLExecDirect(thisHandle->hStmt, (SQLCHAR *) translateChar(STRING_ELT(query, 0)), SQL_NTS); if( res != SQL_SUCCESS && res != SQL_SUCCESS_WITH_INFO ) { char *message = Calloc(strlen(cquery)+50, char); sprintf(message, "[RODBC] ERROR: Could not SQLExecDirect '%s'", cquery); geterr(thisHandle); errlistAppend(thisHandle, message); (void)SQLFreeHandle(SQL_HANDLE_STMT, thisHandle->hStmt); thisHandle->hStmt = NULL; stat = -1; } else stat = cachenbind(thisHandle, nRows); } return ScalarInteger(stat); } #define success_or_failure(message) \ if( res != SQL_SUCCESS && res != SQL_SUCCESS_WITH_INFO ) {\ geterr(thisHandle);\ (void)SQLFreeHandle(SQL_HANDLE_STMT, thisHandle->hStmt);\ thisHandle->hStmt = NULL;\ errlistAppend(thisHandle, message);\ stat = -1;\ } else stat = cachenbind(thisHandle, 1); /**************************************************** * * get primary key * * *************************************************/ SEXP RODBCPrimaryKeys(SEXP chan, SEXP table, SEXP cat, SEXP schem) { int stat = 1; pRODBCHandle thisHandle = R_ExternalPtrAddr(chan); SQLRETURN res; const char *catalog = NULL, *schema = NULL; SQLSMALLINT len1 = 0, len2 = 0; clearresults(thisHandle); res = SQLAllocHandle(SQL_HANDLE_STMT, thisHandle->hDbc, &thisHandle->hStmt); if( res != SQL_SUCCESS && res != SQL_SUCCESS_WITH_INFO ) { errlistAppend(thisHandle, err_SQLAllocStmt); stat = -1; } else { if(TYPEOF(cat) == STRSXP && LENGTH(cat)) { catalog = translateChar(STRING_ELT(cat, 0)); len1 = (SQLSMALLINT) strlen(catalog); } if(TYPEOF(schem) == STRSXP && LENGTH(schem)) { schema = translateChar(STRING_ELT(schem, 0)); len2 = (SQLSMALLINT) strlen(schema); } /* another case of a missing 'const' */ res = SQLPrimaryKeys( thisHandle->hStmt, (SQLCHAR *) catalog, len1, (SQLCHAR *) schema, len2, (SQLCHAR *) translateChar(STRING_ELT(table, 0)), SQL_NTS); success_or_failure(_("[RODBC] ERROR: Failure in SQLPrimary keys")); } return ScalarInteger(stat); } /******************************************** * * Get column data * * ********************************/ SEXP RODBCColumns(SEXP chan, SEXP table, SEXP cat, SEXP schem, SEXP sLiteral) { int stat = 1; pRODBCHandle thisHandle = R_ExternalPtrAddr(chan); SQLRETURN res; const char *catalog = NULL, *schema = NULL; int literal; SQLSMALLINT len1 = 0, len2 = 0; clearresults(thisHandle); res = SQLAllocHandle(SQL_HANDLE_STMT, thisHandle->hDbc, &thisHandle->hStmt); if( res != SQL_SUCCESS && res != SQL_SUCCESS_WITH_INFO ) { errlistAppend(thisHandle, err_SQLAllocStmt); stat = -1; } else { if(TYPEOF(cat) == STRSXP && LENGTH(cat)) { catalog = translateChar(STRING_ELT(cat, 0)); len1 = (SQLSMALLINT) strlen(catalog); } if(TYPEOF(schem) == STRSXP && LENGTH(schem)) { schema = translateChar(STRING_ELT(schem, 0)); len2 = (SQLSMALLINT) strlen(schema); } literal = asLogical(sLiteral); if(literal == NA_LOGICAL) literal = 0; if(literal) res = SQLSetStmtAttr(thisHandle->hStmt, SQL_ATTR_METADATA_ID, (SQLPOINTER) SQL_TRUE, SQL_IS_UINTEGER); /* another case of a missing 'const' */ res = SQLColumns( thisHandle->hStmt, (SQLCHAR *) catalog, len1, (SQLCHAR *) schema, len2, (SQLCHAR *) translateChar(STRING_ELT(table, 0)), SQL_NTS, NULL, 0); success_or_failure(_("[RODBC] ERROR: Failure in SQLColumns")); } return ScalarInteger(stat); } SEXP RODBCSpecialColumns(SEXP chan, SEXP table, SEXP cat, SEXP schem) { int stat = 1; pRODBCHandle thisHandle = R_ExternalPtrAddr(chan); SQLRETURN res; const char *catalog = NULL, *schema = NULL; SQLSMALLINT len1 = 0, len2 = 0; clearresults(thisHandle); res = SQLAllocHandle(SQL_HANDLE_STMT, thisHandle->hDbc, &thisHandle->hStmt); if( res != SQL_SUCCESS && res != SQL_SUCCESS_WITH_INFO ) { errlistAppend(thisHandle, err_SQLAllocStmt); stat = -1; } else { if(TYPEOF(cat) == STRSXP && LENGTH(cat)) { catalog = translateChar(STRING_ELT(cat, 0)); len1 = (SQLSMALLINT) strlen(catalog); } if(TYPEOF(schem) == STRSXP && LENGTH(schem)) { schema = translateChar(STRING_ELT(schem, 0)); len2 = (SQLSMALLINT) strlen(schema); } /* another case of a missing 'const' */ res = SQLSpecialColumns( thisHandle->hStmt, SQL_BEST_ROWID, (SQLCHAR *) catalog, len1, (SQLCHAR *) schema, len2, (SQLCHAR *) translateChar(STRING_ELT(table, 0)), SQL_NTS, SQL_SCOPE_TRANSACTION, SQL_NULLABLE); success_or_failure(_("[RODBC] ERROR: Failure in SQLSpecialColumns")); } return ScalarInteger(stat); } /***************************************************** * * get Table data * * ***************************************/ SEXP RODBCTables(SEXP chan, SEXP cat, SEXP schem, SEXP name, SEXP type, SEXP sLiteral) { pRODBCHandle thisHandle = R_ExternalPtrAddr(chan); SQLRETURN res; const char *catalog = NULL, *schema = NULL, *tName = NULL, *tType = NULL; int stat = 1, literal; SQLSMALLINT len1 = 0, len2 = 0, len3 = 0, len4 = 0; clearresults(thisHandle); res = SQLAllocHandle(SQL_HANDLE_STMT, thisHandle->hDbc, &thisHandle->hStmt); if( res != SQL_SUCCESS && res != SQL_SUCCESS_WITH_INFO ) { errlistAppend(thisHandle, err_SQLAllocStmt); stat = -1; } else { if(TYPEOF(cat) == STRSXP && LENGTH(cat)) { catalog = translateChar(STRING_ELT(cat, 0)); len1 = (SQLSMALLINT) strlen(catalog); } if(TYPEOF(schem) == STRSXP && LENGTH(schem)) { schema = translateChar(STRING_ELT(schem, 0)); len2 = (SQLSMALLINT) strlen(schema); } if(TYPEOF(name) == STRSXP && LENGTH(name)) { tName = translateChar(STRING_ELT(name, 0)); len3 = (SQLSMALLINT) strlen(tName); } if(TYPEOF(type) == STRSXP && LENGTH(type)) { tType = translateChar(STRING_ELT(type, 0)); len4 = (SQLSMALLINT) strlen(tType); } literal = asLogical(sLiteral); if(literal == NA_LOGICAL) literal = 0; if(literal) res = SQLSetStmtAttr(thisHandle->hStmt, SQL_ATTR_METADATA_ID, (SQLPOINTER) SQL_TRUE, SQL_IS_UINTEGER); res = SQLTables(thisHandle->hStmt, (SQLCHAR *) catalog, len1, (SQLCHAR *) schema, len2, (SQLCHAR *) tName, len3, (SQLCHAR *) tType, len4); success_or_failure(_("[RODBC] ERROR: SQLTables failed")); } return ScalarInteger(stat); } /***************************************************** * * get Type Info * * ***************************************/ SEXP RODBCTypeInfo(SEXP chan, SEXP ptype) { pRODBCHandle thisHandle = R_ExternalPtrAddr(chan); short type; SQLRETURN res; int stat = TRUE; clearresults(thisHandle); res = SQLAllocHandle(SQL_HANDLE_STMT, thisHandle->hDbc, &thisHandle->hStmt); if( res != SQL_SUCCESS && res != SQL_SUCCESS_WITH_INFO ) { errlistAppend(thisHandle, err_SQLAllocStmt); stat = FALSE; } else { switch(asInteger(ptype)){ case 0: type = SQL_ALL_TYPES; break; /* all */ case 1: type = SQL_CHAR; break; case 2: type = SQL_VARCHAR; break; case 3: type = SQL_REAL; break; case 4: type = SQL_DOUBLE; break; case 5: type = SQL_INTEGER; break; case 6: type = SQL_SMALLINT; break; case 7: type = SQL_TYPE_TIMESTAMP; break; case 8: type = SQL_FLOAT; break; case 9: type = SQL_BIT; break; case 10: type = SQL_WCHAR; break; case 11: type = SQL_WVARCHAR; break; case 12: type = SQL_DATE; break; case 13: type = SQL_TIME; break; case 14: type = SQL_BINARY; break; case 15: type = SQL_VARBINARY; break; case 16: case 17: type = SQL_LONGVARBINARY; break; default: type = SQL_ALL_TYPES; } res = SQLGetTypeInfo(thisHandle->hStmt, type); success_or_failure(_("[RODBC] ERROR: SQLTables failed")); } return ScalarLogical(stat); } SEXP RODBCGetInfo(SEXP chan) { SEXP ans; int i; pRODBCHandle thisHandle = R_ExternalPtrAddr(chan); char buf[1000]; SQLSMALLINT nbytes; SQLRETURN retval; SQLSMALLINT InfoTypes[] = {SQL_DBMS_NAME, SQL_DBMS_VER, SQL_DRIVER_ODBC_VER, SQL_DATA_SOURCE_NAME, SQL_DRIVER_NAME, SQL_DRIVER_VER, SQL_ODBC_VER, SQL_SERVER_NAME}; /* Rprintf("using (%p, %p)\n", chan, thisHandle); */ PROTECT(ans = allocVector(STRSXP, 8)); for (i = 0; i < LENGTH(ans); i++) { retval = SQLGetInfo(thisHandle->hDbc, InfoTypes[i], buf, (SQLSMALLINT)1000, &nbytes); if( retval != SQL_SUCCESS && retval != SQL_SUCCESS_WITH_INFO ) { geterr(thisHandle); SET_STRING_ELT(ans, i, mkChar("error")); break; } else SET_STRING_ELT(ans, i, mkChar(buf)); } UNPROTECT(1); return ans; } static void cachenbind_free(pRODBCHandle thisHandle) { SQLUSMALLINT i; if(thisHandle->ColData) { for (i = 0; i < thisHandle->nAllocated; i++) if(thisHandle->ColData[i].pData) Free(thisHandle->ColData[i].pData); Free(thisHandle->ColData); thisHandle->ColData = NULL; /* to be sure */ } } #define BIND(type, buf, size) \ retval = SQLBindCol(thisHandle->hStmt, i+1, type,\ thisHandle->ColData[i].buf, size,\ thisHandle->ColData[i].IndPtr);\ break; /* ******************************************* * * Common column cache and bind for query-like routines * This is used to bind the columns for all queries that * produce a result set, which is uses by RODBCFetchRows. * * *******************************************/ /* returns 1 for success, -1 for failure */ static int cachenbind(pRODBCHandle thisHandle, int nRows) { SQLUSMALLINT i; SQLRETURN retval; /* Now cache the number of columns, rows */ retval = SQLNumResultCols(thisHandle->hStmt, &NCOLS); if( retval != SQL_SUCCESS && retval != SQL_SUCCESS_WITH_INFO ) { /* assume this is not an error but that no rows found */ NROWS = 0; return 1 ; } retval = SQLRowCount(thisHandle->hStmt, &NROWS); if( retval != SQL_SUCCESS && retval != SQL_SUCCESS_WITH_INFO ) { geterr(thisHandle); errlistAppend(thisHandle, _("[RODBC] ERROR: SQLRowCount failed")); goto error; } /* Allocate storage for ColData array, first freeing what was there before */ cachenbind_free(thisHandle); thisHandle->ColData = Calloc(NCOLS, COLUMNS); /* this allocates Data as zero */ thisHandle->nAllocated = NCOLS; /* attempt to set the row array size */ thisHandle->rowArraySize = my_min(nRows, MAX_ROWS_FETCH); /* passing unsigned integer values via casts is a bad idea. But here double casting works because long and a pointer are the same size on all relevant platforms (since Win64 is not relevant). */ retval = SQLSetStmtAttr(thisHandle->hStmt, SQL_ATTR_ROW_ARRAY_SIZE, (SQLPOINTER) (unsigned long) thisHandle->rowArraySize, 0 ); if (retval != SQL_SUCCESS) thisHandle->rowArraySize = 1; thisHandle->rowsUsed = 0; /* Set pointer to report number of rows fetched */ if (thisHandle->rowArraySize != 1) { retval = SQLSetStmtAttr(thisHandle->hStmt, SQL_ATTR_ROWS_FETCHED_PTR, &thisHandle->rowsFetched, 0); if (retval != SQL_SUCCESS) { thisHandle->rowArraySize = 1; SQLSetStmtAttr(thisHandle->hStmt, SQL_ATTR_ROW_ARRAY_SIZE, (SQLPOINTER) 1, 0 ); } } nRows = thisHandle->rowArraySize; /* step through each col and cache metadata: cols are numbered from 1! */ for (i = 0; i < NCOLS; i++) { retval = SQLDescribeCol(thisHandle->hStmt, i+1, thisHandle->ColData[i].ColName, 256, &thisHandle->ColData[i].NameLength, &thisHandle->ColData[i].DataType, &thisHandle->ColData[i].ColSize, &thisHandle->ColData[i].DecimalDigits, &thisHandle->ColData[i].Nullable); if( retval != SQL_SUCCESS && retval != SQL_SUCCESS_WITH_INFO ) { geterr(thisHandle); errlistAppend(thisHandle, _("[RODBC] ERROR: SQLDescribeCol failed")); goto error; } /* now bind the col to its data buffer */ /* MSDN say the BufferLength is ignored for fixed-size types, but this is not so for UnixODBC */ /* We could add other types here, in particular SQL_C_USHORT SQL_C_ULONG (map to double) SQL_C_BIT SQL_C_WCHAR (map to UTF-8) */ switch(thisHandle->ColData[i].DataType) { case SQL_DOUBLE: BIND(SQL_C_DOUBLE, RData, sizeof(double)); case SQL_REAL: BIND(SQL_C_FLOAT, R4Data, sizeof(float)); case SQL_INTEGER: BIND(SQL_C_SLONG, IData, sizeof(int)); case SQL_SMALLINT: BIND(SQL_C_SSHORT, I2Data, sizeof(short)); case SQL_BINARY: case SQL_VARBINARY: case SQL_LONGVARBINARY: { /* should really use SQLCHAR (unsigned) */ SQLLEN datalen = thisHandle->ColData[i].ColSize; thisHandle->ColData[i].datalen = datalen; thisHandle->ColData[i].pData = Calloc(nRows * (datalen + 1), char); BIND(SQL_C_BINARY, pData, datalen); } default: { SQLLEN datalen = thisHandle->ColData[i].ColSize; if (datalen <= 0 || datalen < COLMAX) datalen = COLMAX; /* sanity check as the reports are sometimes unreliable */ if (datalen > 65535) datalen = 65535; thisHandle->ColData[i].pData = Calloc(nRows * (datalen + 1), char); thisHandle->ColData[i].datalen = datalen; BIND(SQL_C_CHAR, pData, datalen); } } if( retval != SQL_SUCCESS && retval != SQL_SUCCESS_WITH_INFO ) { geterr(thisHandle); errlistAppend(thisHandle, _("[RODBC] ERROR: SQLBindCol failed")); goto error; } } return 1; error: (void)SQLFreeStmt(thisHandle->hStmt, SQL_CLOSE); (void)SQLFreeHandle(SQL_HANDLE_STMT, thisHandle->hStmt); thisHandle->hStmt = NULL; return -1; } /***************************************/ SEXP RODBCNumCols(SEXP chan) { pRODBCHandle thisHandle = R_ExternalPtrAddr(chan); if(NCOLS == -1) errlistAppend(thisHandle, _("[RODBC] No results available")); return ScalarInteger((int) NCOLS); } #define ROWSNA (SQLLEN) -1 static SEXP mkRaw(char *ptr, unsigned int len) { SEXP ans = allocVector(RAWSXP, len); memcpy(RAW(ans), ptr, len); return ans; } SEXP RODBCFetchRows(SEXP chan, SEXP max, SEXP bs, SEXP nas, SEXP believeNRows) { int stat = 1, i, j, blksize, nc, n, row; int maximum = asInteger(max); pRODBCHandle thisHandle = R_ExternalPtrAddr(chan); int useNRows = asLogical(believeNRows) != 0; int buffsize = asInteger(bs); SEXP data, names, ans; SQLRETURN retval; nc = NCOLS; PROTECT(ans = allocVector(VECSXP, 2)); /* create answer [0] = data, [1]=stat */ if(!useNRows || !thisHandle->useNRows) NROWS = ROWSNA; if(nc == 0) stat = -2; if(nc == -1) { errlistAppend(thisHandle, _("[RODBC] No results available")); stat = -1; } if(stat < 0 || nc == 0) { if(NROWS == 0) errlistAppend(thisHandle, _("No Data")); PROTECT(data = allocVector(VECSXP, 0)); } else { /* NCOLS > 0 */ PROTECT(data = allocVector(VECSXP, nc)); if(NROWS == ROWSNA) { if(maximum) blksize = maximum; else { maximum = INT_MAX; blksize = (buffsize < 100) ? 100: buffsize; } } else { if(!maximum || maximum > NROWS) maximum = NROWS; blksize = maximum; } for(i = 0; i < nc; i++) { switch(thisHandle->ColData[i].DataType) { case SQL_DOUBLE: case SQL_REAL: SET_VECTOR_ELT(data, i, allocVector(REALSXP, blksize)); break; case SQL_INTEGER: case SQL_SMALLINT: SET_VECTOR_ELT(data, i, allocVector(INTSXP, blksize)); break; case SQL_BINARY: case SQL_VARBINARY: case SQL_LONGVARBINARY: SET_VECTOR_ELT(data, i, allocVector(VECSXP, blksize)); break; default: SET_VECTOR_ELT(data, i, allocVector(STRSXP, blksize)); } } for(j = 1; j <= maximum; ) { if(j > blksize) { blksize *= 2; for (i = 0; i < nc; i++) SET_VECTOR_ELT(data, i, lengthgets(VECTOR_ELT(data, i), blksize)); } if(thisHandle->rowsUsed == 0L || thisHandle->rowsUsed >= thisHandle->rowsFetched) { if (thisHandle->rowArraySize == 1) { retval = SQLFetch(thisHandle->hStmt); thisHandle->rowsFetched = 1; } else /* this will update thisHandle->rowsFetched */ retval = SQLFetchScroll(thisHandle->hStmt, SQL_FETCH_NEXT, 0); if(retval != SQL_SUCCESS && retval != SQL_SUCCESS_WITH_INFO) break; thisHandle->rowsUsed = 0; /* SQL_SUCCESS_WITH_INFO if char column(s) truncated */ if(retval == SQL_SUCCESS_WITH_INFO) { SQLCHAR sqlstate[6], msg[SQL_MAX_MESSAGE_LENGTH]; SQLINTEGER NativeError; SQLSMALLINT MsgLen; if(SQLError(hEnv, thisHandle->hDbc, thisHandle->hStmt, sqlstate, &NativeError, msg, (SQLSMALLINT)sizeof(msg), &MsgLen) == SQL_SUCCESS) { if(strcmp((char *)sqlstate, "O1004") == 0) warning(_("character data truncated in column '%s'"), (char *)thisHandle->ColData[i].ColName); } } } for(row = thisHandle->rowsUsed; row < thisHandle->rowsFetched && j <= maximum; j++, row++) { thisHandle->rowsUsed++; if(j > blksize) { blksize *= 2; for (i = 0; i < nc; i++) SET_VECTOR_ELT(data, i, lengthgets(VECTOR_ELT(data, i), blksize)); } for (i = 0; i < nc; i++) { SQLLEN len = thisHandle->ColData[i].IndPtr[row]; switch(thisHandle->ColData[i].DataType) { case SQL_DOUBLE: REAL(VECTOR_ELT(data, i))[j-1] = len == SQL_NULL_DATA ? NA_REAL : thisHandle->ColData[i].RData[row]; break; case SQL_REAL: REAL(VECTOR_ELT(data, i))[j-1] = len == SQL_NULL_DATA ? NA_REAL : (double) thisHandle->ColData[i].R4Data[row]; break; case SQL_INTEGER: INTEGER(VECTOR_ELT(data, i))[j-1] = len == SQL_NULL_DATA ? NA_INTEGER : thisHandle->ColData[i].IData[row]; break; case SQL_SMALLINT: INTEGER(VECTOR_ELT(data, i))[j-1] = len == SQL_NULL_DATA ? NA_INTEGER : (int) thisHandle->ColData[i].I2Data[row]; break; case SQL_BINARY: case SQL_VARBINARY: case SQL_LONGVARBINARY: { SEXP this = (len == SQL_NULL_DATA) ? allocVector(RAWSXP, 0) : mkRaw(thisHandle->ColData[i].pData + (thisHandle->ColData[i].datalen * row), len); SET_VECTOR_ELT(VECTOR_ELT(data, i), j-1, this); break; } default: SET_STRING_ELT(VECTOR_ELT(data, i), j-1, len == SQL_NULL_DATA ? STRING_ELT(nas, 0) : mkChar(thisHandle->ColData[i].pData + (thisHandle->ColData[i].datalen * row))); } } } } n = --j; if (n > 0 && !(maximum && n >= maximum)) { /* means 'no further results available' */ NCOLS = -1; thisHandle->rowsUsed = 0; /* safety */ /* so we can free the buffers */ cachenbind_free(thisHandle); } if (n < blksize) { /* need to trim vectors */ for (i = 0; i < nc; i++) SET_VECTOR_ELT(data, i, lengthgets(VECTOR_ELT(data, i), n)); } } SET_VECTOR_ELT(ans, 0, data); SET_VECTOR_ELT(ans, 1, ScalarInteger(stat)); PROTECT(names = allocVector(STRSXP, 2)); SET_STRING_ELT(names, 0, mkChar("data")); SET_STRING_ELT(names, 1, mkChar("stat")); setAttrib(ans, R_NamesSymbol, names); // SET_NAMES(ans, names); UNPROTECT(3); /* ans data names */ return ans; } /**********************************************************************/ SEXP RODBCColData(SEXP chan) { SEXP ans, names, type, ansnames; pRODBCHandle thisHandle = R_ExternalPtrAddr(chan); int i, nc; PROTECT(ans = allocVector(VECSXP, 2)); if(NCOLS == -1) errlistAppend(thisHandle, _("[RODBC] No results available")); nc = NCOLS; if(nc < 0) nc = 0; SET_VECTOR_ELT(ans, 0, names = allocVector(STRSXP, nc)); SET_VECTOR_ELT(ans, 1, type = allocVector(STRSXP, nc)); PROTECT(ansnames = allocVector(STRSXP, 2)); SET_STRING_ELT(ansnames, 0, mkChar("names")); SET_STRING_ELT(ansnames, 1, mkChar("type")); setAttrib(ans, R_NamesSymbol, ansnames); for (i = 0; i < nc; i++) { SET_STRING_ELT(names, i, mkChar((char *)thisHandle->ColData[i].ColName)); /* at the moment we only need to know if it is a date, datetime or other */ switch(thisHandle->ColData[i].DataType) { case SQL_CHAR: SET_STRING_ELT(type, i, mkChar("char")); break; case SQL_NUMERIC: SET_STRING_ELT(type, i, mkChar("numeric")); break; case SQL_DECIMAL: SET_STRING_ELT(type, i, mkChar("decimal")); break; case SQL_INTEGER: SET_STRING_ELT(type, i, mkChar("int")); break; case SQL_SMALLINT: SET_STRING_ELT(type, i, mkChar("smallint")); break; case SQL_FLOAT: SET_STRING_ELT(type, i, mkChar("float")); break; case SQL_REAL: SET_STRING_ELT(type, i, mkChar("real")); break; case SQL_DOUBLE: SET_STRING_ELT(type, i, mkChar("double")); break; case SQL_DATE: case SQL_TYPE_DATE: SET_STRING_ELT(type, i, mkChar("date")); break; case SQL_TIME: case SQL_TYPE_TIME: SET_STRING_ELT(type, i, mkChar("time")); break; case SQL_TIMESTAMP: case SQL_TYPE_TIMESTAMP: SET_STRING_ELT(type, i, mkChar("timestamp")); break; case SQL_VARCHAR: SET_STRING_ELT(type, i, mkChar("varchar")); break; case SQL_BINARY: case SQL_VARBINARY: case SQL_LONGVARBINARY: SET_STRING_ELT(type, i, mkChar("varchar")); break; case SQL_UNKNOWN_TYPE: default: SET_STRING_ELT(type, i, mkChar("unknown")); } } UNPROTECT(2); return ans; } /*********************************************************/ SEXP RODBCUpdate(SEXP chan, SEXP query, SEXP data, SEXP dataseq, SEXP params, SEXP test) { pRODBCHandle thisHandle = R_ExternalPtrAddr(chan); int rows, i, j, k, stat = 1, vtest = asInteger(test), nparams; int *sequence = INTEGER(dataseq); const char *cquery = translateChar(STRING_ELT(query, 0)); SQLRETURN res = 0; /* -Wall */ SEXP paramnames = VECTOR_ELT(params, 0); nparams = length(paramnames); NCOLS = nparams; clearresults(thisHandle); res = SQLAllocHandle(SQL_HANDLE_STMT, thisHandle->hDbc, &thisHandle->hStmt); if( res != SQL_SUCCESS && res != SQL_SUCCESS_WITH_INFO ) { errlistAppend(thisHandle, err_SQLAllocStmt); stat = -1; goto end; } res = SQLPrepare( thisHandle->hStmt, (SQLCHAR *) cquery, strlen(cquery) ); if( res != SQL_SUCCESS && res != SQL_SUCCESS_WITH_INFO ) { char *message = Calloc(strlen(cquery)+50, char); sprintf(message, "[RODBC] ERROR: Could not SQLPrepare '%s'", cquery); geterr(thisHandle); errlistAppend(thisHandle, message); (void)SQLFreeHandle(SQL_HANDLE_STMT, thisHandle->hStmt); thisHandle->hStmt = NULL; stat = -1; goto end; } /* Allocate storage for ColData array, first freeing what was there last */ cachenbind_free(thisHandle); thisHandle->ColData = Calloc(NCOLS, COLUMNS); /* this allocates Data as zero */ thisHandle->nAllocated = NCOLS; /* extract the column data */ for(j = 0; j < nparams; j++) { int tmp; strcpy((char *) thisHandle->ColData[j].ColName, translateChar(STRING_ELT(paramnames, j))); thisHandle->ColData[j].DataType = INTEGER(VECTOR_ELT(params, 1))[j]; thisHandle->ColData[j].ColSize = INTEGER(VECTOR_ELT(params, 2))[j]; /* I don't think this would be NA, but the code was here */ tmp = INTEGER(VECTOR_ELT(params, 3))[j]; thisHandle->ColData[j].DecimalDigits = (tmp == NA_INTEGER) ? 0 : tmp; if(vtest) Rprintf("Binding: '%s' DataType %d, ColSize %d\n", (char *) thisHandle->ColData[j].ColName, thisHandle->ColData[j].DataType, thisHandle->ColData[j].ColSize); switch(TYPEOF(VECTOR_ELT(data, sequence[j]))) { case REALSXP: /* It is possible that we are sending data to a DECIMAL or NUMERIC data type, when DecimalDigits would be relevant */ res = SQLBindParameter(thisHandle->hStmt, j+1, SQL_PARAM_INPUT, SQL_C_DOUBLE, thisHandle->ColData[j].DataType, thisHandle->ColData[j].ColSize, thisHandle->ColData[j].DecimalDigits, thisHandle->ColData[j].RData, 0, thisHandle->ColData[j].IndPtr); break; case INTSXP: res = SQLBindParameter(thisHandle->hStmt, j+1, SQL_PARAM_INPUT, SQL_C_SLONG, thisHandle->ColData[j].DataType, thisHandle->ColData[j].ColSize, thisHandle->ColData[j].DecimalDigits, thisHandle->ColData[j].IData, 0, thisHandle->ColData[j].IndPtr); break; default: { int datalen = thisHandle->ColData[j].ColSize; /* Why change here but not when sending the data? */ if (datalen <= 0) datalen = 1024; thisHandle->ColData[j].pData = Calloc(datalen+1, char); res = SQLBindParameter(thisHandle->hStmt, j+1, SQL_PARAM_INPUT, SQL_C_CHAR, thisHandle->ColData[j].DataType, datalen, thisHandle->ColData[j].DecimalDigits, thisHandle->ColData[j].pData, 0, thisHandle->ColData[j].IndPtr); } } if(res != SQL_SUCCESS && res != SQL_SUCCESS_WITH_INFO) { geterr(thisHandle); errlistAppend(thisHandle, _("[RODBC] SQLBindParameter failed")); geterr(thisHandle); stat = -1; goto end; } } /* now send the data */ if(vtest) Rprintf("Parameters:\n"); rows = LENGTH(VECTOR_ELT(data, 0)); for(i = 0; i < rows; i++) { for(j = 0; j < LENGTH(data); j++) { k = sequence[j]; /* get the right column */ switch(TYPEOF(VECTOR_ELT(data, k))) { case REALSXP: thisHandle->ColData[j].RData[0] = REAL(VECTOR_ELT(data, k))[i]; if(vtest) Rprintf("no: %d: %s %g/***/", j + 1, (char *) thisHandle->ColData[j].ColName, REAL(VECTOR_ELT(data, k))[i]); if(ISNAN(REAL(VECTOR_ELT(data, k))[i])) thisHandle->ColData[j].IndPtr[0] = SQL_NULL_DATA; else thisHandle->ColData[j].IndPtr[0] = SQL_NTS; break; case INTSXP: thisHandle->ColData[j].IData[0] = INTEGER(VECTOR_ELT(data, k))[i]; if(vtest) Rprintf("no: %d: %s %d/***/", j + 1, (char *) thisHandle->ColData[j].ColName, INTEGER(VECTOR_ELT(data, k))[i]); if(INTEGER(VECTOR_ELT(data, k))[i] == NA_INTEGER) thisHandle->ColData[j].IndPtr[0] = SQL_NULL_DATA; else thisHandle->ColData[j].IndPtr[0] = SQL_NTS; break; default: { const char *cData = translateChar(STRING_ELT(VECTOR_ELT(data, k), i)); int datalen = thisHandle->ColData[j].ColSize; strncpy(thisHandle->ColData[j].pData, cData, datalen); thisHandle->ColData[j].pData[datalen] = '\0'; if(strlen(cData) > datalen) warning(_("character data '%s' truncated to %d bytes in column '%s'"), cData, datalen, (char *) thisHandle->ColData[j].ColName); if(vtest) Rprintf("no: %d: %s %s/***/", j + 1, (char *) thisHandle->ColData[j].ColName, cData); if(STRING_ELT(VECTOR_ELT(data, k), i) == NA_STRING) thisHandle->ColData[j].IndPtr[0] = SQL_NULL_DATA; else thisHandle->ColData[j].IndPtr[0] = SQL_NTS; } } } if(vtest) Rprintf("\n"); if(vtest < 2) { res = SQLExecute(thisHandle->hStmt); if( res != SQL_SUCCESS && res != SQL_SUCCESS_WITH_INFO ) { errlistAppend(thisHandle, _("[RODBC] Failed exec in Update")); geterr(thisHandle); stat = -1; goto end; } } } end: /* free the buffers */ cachenbind_free(thisHandle); (void)SQLFreeStmt(thisHandle->hStmt, SQL_RESET_PARAMS); (void)SQLFreeHandle(SQL_HANDLE_STMT, thisHandle->hStmt); thisHandle->hStmt = NULL; return ScalarInteger(stat); } /************************************************ * * DISCONNECT * * **********************************************/ static int inRODBCClose(pRODBCHandle thisHandle) { int success = 1; SQLRETURN retval; /* Rprintf("closing %p\n", thisHandle); */ if(thisHandle->channel <= MAX_CHANNELS) opened_handles[thisHandle->channel] = NULL; retval = SQLDisconnect( thisHandle->hDbc ); if( retval != SQL_SUCCESS && retval != SQL_SUCCESS_WITH_INFO ) { /* was errlist_append, but errorlist is squashed before return! */ warning(_("[RODBC] Error in SQLDisconnect")); success = -1; } retval = SQLFreeHandle(SQL_HANDLE_DBC, thisHandle->hDbc); if( retval != SQL_SUCCESS && retval != SQL_SUCCESS_WITH_INFO ) { warning(_("[RODBC] Error in SQLFreeconnect")); success = -1; } cachenbind_free(thisHandle); errorFree(thisHandle->msglist); R_ClearExternalPtr(thisHandle->extPtr); Free(thisHandle); return success; } SEXP RODBCClose(SEXP chan) { return ScalarInteger( inRODBCClose(R_ExternalPtrAddr(chan))); } static void chanFinalizer(SEXP ptr) { if(!R_ExternalPtrAddr(ptr)) return; /* Rprintf("finalizing %p\n", R_ExternalPtrAddr(ptr)); */ warning(_("closing unused RODBC handle %d\n"), ((pRODBCHandle )R_ExternalPtrAddr(ptr))->channel); inRODBCClose(R_ExternalPtrAddr(ptr)); R_ClearExternalPtr(ptr); /* not really needed */ } SEXP RODBCCloseAll(void) { int i; for(i = 1; i <= my_min(nChannels, MAX_CHANNELS); i++) if(opened_handles[i]) inRODBCClose(opened_handles[i]); return R_NilValue; } /********************************************************** * * Some utility routines to build, count, read and free a linked list * of diagnostic record messages * This is implemented as a linked list against the possibility * of using SQLGetDiagRec which returns an unknown number of messages. * * Don't use while !SQL_NO_DATA 'cause iodbc does not support it *****************************************/ static void geterr(pRODBCHandle thisHandle) { SQLCHAR sqlstate[6], msg[SQL_MAX_MESSAGE_LENGTH]; SQLINTEGER NativeError; SQLSMALLINT i = 1, MsgLen; char message[SQL_MAX_MESSAGE_LENGTH+16]; SQLRETURN retval; while(1) { /* exit via break */ retval = SQLGetDiagRec(SQL_HANDLE_STMT, thisHandle->hStmt, i++, sqlstate, &NativeError, msg, sizeof(msg), &MsgLen); if(retval != SQL_SUCCESS && retval != SQL_SUCCESS_WITH_INFO) break; sprintf(message,"%s %d %s", sqlstate, (int)NativeError, msg); errlistAppend(thisHandle, message); // i++; } } /**************************************** * append to list */ /* Can't mix strdup and R's memory allocation */ static char *mystrdup(const char *s) { char *s2; s2 = Calloc(strlen(s) + 1, char); strcpy(s2, s); return s2; } static void errlistAppend(pRODBCHandle thisHandle, const char *string) { SQLMSG *root; SQLCHAR *buffer; /* do this strdup so that all the message chain can be freed*/ if((buffer = (SQLCHAR *) mystrdup(string)) == NULL) { REprintf("RODBC.c: Memory Allocation failure for message string\n"); return; } root = thisHandle->msglist; if(root) { while(root->message) { if(root->next) root = root->next; else break; } root->next = Calloc(1, SQLMSG); root = root->next; } else { root = thisHandle->msglist = Calloc(1, SQLMSG); } root->next = NULL; root->message = buffer; } /***************************************/ /* currently unused */ SEXP RODBCErrMsgCount(SEXP chan) { int i = 0; pRODBCHandle thisHandle = R_ExternalPtrAddr(chan); SQLMSG *root; root = thisHandle->msglist; if(root) { while(root->message) { i++; if(root->next) root=root->next; else break; } } return ScalarInteger(i); } /******************************/ SEXP RODBCGetErrMsg(SEXP chan) { SEXP ans; int i, num; pRODBCHandle thisHandle = R_ExternalPtrAddr(chan); SQLMSG *root; /* count the messages */ i = 0; root = thisHandle->msglist; if(root) { while(root->message) { i++; if(root->next) root = root->next; else break; } } num = i; i = 0; PROTECT(ans = allocVector(STRSXP, num)); root = thisHandle->msglist; if(root) { while(root->message) { SET_STRING_ELT(ans, i++, mkChar((char *)root->message)); if(root->next) root = root->next; else break; } } UNPROTECT(1); return ans; } /********/ SEXP RODBCClearError(SEXP chan) { pRODBCHandle thisHandle = R_ExternalPtrAddr(chan); errorFree(thisHandle->msglist); thisHandle->msglist = NULL; return R_NilValue; } /*********************/ static void errorFree(SQLMSG *node) { if(!node) return; if(node->next) errorFree(node->next); if(node) { Free(node->message); Free(node); node = NULL; } } /********************** * Check for valid channel since invalid * will cause segfault on most functions */ SEXP RODBCcheckchannel(SEXP chan, SEXP id) { SEXP ptr = getAttrib(chan, install("handle_ptr")); pRODBCHandle thisHandle = R_ExternalPtrAddr(ptr); return ScalarLogical(thisHandle && TYPEOF(ptr) == EXTPTRSXP && thisHandle->channel == asInteger(chan) && thisHandle->id == asInteger(id)); } /*********************** * Set connection auto-commit mode */ SEXP RODBCSetAutoCommit(SEXP chan, SEXP autoCommit) { pRODBCHandle thisHandle = R_ExternalPtrAddr(chan); int iAutoCommit = asLogical(autoCommit) != 0; int rc; if (!iAutoCommit) rc = SQLSetConnectAttr(thisHandle->hDbc, SQL_ATTR_AUTOCOMMIT, (SQLPOINTER) (unsigned long) SQL_AUTOCOMMIT_OFF, 0); else rc = SQLSetConnectAttr(thisHandle->hDbc, SQL_ATTR_AUTOCOMMIT, (SQLPOINTER) (unsigned long) SQL_AUTOCOMMIT_ON, 0); return ScalarInteger(rc); } /*********************** * Commit or rollback a transaction */ SEXP RODBCEndTran(SEXP chan, SEXP sCommit) { pRODBCHandle thisHandle = R_ExternalPtrAddr(chan); int rc; rc = SQLEndTran(SQL_HANDLE_DBC, thisHandle->hDbc, (asLogical(sCommit) != 0) ? SQL_COMMIT : SQL_ROLLBACK); return ScalarInteger(rc); } SEXP RODBCListDataSources(SEXP stype) { SEXP ans, nm; PROTECT_INDEX pidx, nidx; UWORD fDirection = SQL_FETCH_FIRST; SQLRETURN retval; SQLCHAR szDSN[SQL_MAX_DSN_LENGTH+1]; SQLCHAR szDescription[100]; char message[SQL_MAX_DSN_LENGTH+101]; int i = 0, ni = 100, type = asInteger(stype); odbcInit(); switch(type) { case 2: fDirection = SQL_FETCH_FIRST_USER; break; case 3: fDirection = SQL_FETCH_FIRST_SYSTEM; break; default: fDirection = SQL_FETCH_FIRST; break; } PROTECT_WITH_INDEX(ans = allocVector(STRSXP, ni), &pidx); PROTECT_WITH_INDEX(nm = allocVector(STRSXP, ni), &nidx); do { retval = SQLDataSources(hEnv, fDirection, (UCHAR *)szDSN, sizeof(szDSN), NULL, (UCHAR *)szDescription, sizeof(szDescription), NULL); if(retval == SQL_NO_DATA) break; if(retval != SQL_SUCCESS && retval != SQL_SUCCESS_WITH_INFO) { sprintf(message, "SQLDataSources returned: %d", retval); SET_STRING_ELT(ans, i, mkChar(message)); } else { SET_STRING_ELT(nm, i, mkChar((char *)szDSN)); SET_STRING_ELT(ans, i, mkChar((char *)szDescription)); } fDirection = SQL_FETCH_NEXT; i++; if(i >= ni - 1) { ni *= 2; REPROTECT(ans = lengthgets(ans, ni), pidx); REPROTECT(nm = lengthgets(nm, ni), nidx); } } while(retval == SQL_SUCCESS || retval == SQL_SUCCESS_WITH_INFO); REPROTECT(ans = lengthgets(ans, i), pidx); REPROTECT(nm = lengthgets(nm, i), nidx); setAttrib(ans, R_NamesSymbol, nm); UNPROTECT(2); return ans; } #include static const R_CallMethodDef CallEntries[] = { {"RODBCGetErrMsg", (DL_FUNC) &RODBCGetErrMsg, 1}, {"RODBCClearError", (DL_FUNC) &RODBCClearError, 1}, {"RODBCDriverConnect", (DL_FUNC) &RODBCDriverConnect, 4}, {"RODBCQuery", (DL_FUNC) &RODBCQuery, 3}, {"RODBCUpdate", (DL_FUNC) &RODBCUpdate, 6}, {"RODBCTables", (DL_FUNC) &RODBCTables, 6}, {"RODBCColumns", (DL_FUNC) &RODBCColumns, 5}, {"RODBCSpecialColumns", (DL_FUNC) &RODBCSpecialColumns, 4}, {"RODBCPrimaryKeys", (DL_FUNC) &RODBCPrimaryKeys, 4}, {"RODBCColData", (DL_FUNC) &RODBCColData, 1}, {"RODBCNumCols", (DL_FUNC) &RODBCNumCols, 1}, {"RODBCClose", (DL_FUNC) &RODBCClose, 1}, {"RODBCCloseAll", (DL_FUNC) &RODBCCloseAll, 0}, {"RODBCFetchRows", (DL_FUNC) &RODBCFetchRows, 5}, {"RODBCGetInfo", (DL_FUNC) &RODBCGetInfo, 1}, {"RODBCcheckchannel", (DL_FUNC) &RODBCcheckchannel, 2}, {"RODBCclearresults", (DL_FUNC) &RODBCclearresults, 1}, {"RODBCSetAutoCommit", (DL_FUNC) &RODBCSetAutoCommit, 2}, {"RODBCEndTran", (DL_FUNC) &RODBCEndTran, 2}, {"RODBCTypeInfo", (DL_FUNC) &RODBCTypeInfo, 2}, {"RODBCListDataSources", (DL_FUNC) &RODBCListDataSources, 1}, {"RODBCTerm", (DL_FUNC) &RODBCTerm, 0}, {NULL, NULL, 0} }; void R_init_RODBC(DllInfo *dll) { R_registerRoutines(dll, NULL, CallEntries, NULL, NULL); R_useDynamicSymbols(dll, FALSE); R_forceSymbols(dll, TRUE); } RODBC/src/config.h.in0000644000176000001440000000352314120605454013751 0ustar ripleyusers/* src/config.h.in. Generated from configure.ac by autoheader. */ /* Define to 1 if you have the header file. */ #undef HAVE_INTTYPES_H /* Define to 1 if you have the header file. */ #undef HAVE_SQLEXT_H /* Define to 1 if the system has the type `SQLLEN'. */ #undef HAVE_SQLLEN /* Define to 1 if the system has the type `SQLULEN'. */ #undef HAVE_SQLULEN /* Define to 1 if you have the header file. */ #undef HAVE_SQL_H /* Define to 1 if you have the header file. */ #undef HAVE_STDINT_H /* Define to 1 if you have the header file. */ #undef HAVE_STDIO_H /* Define to 1 if you have the header file. */ #undef HAVE_STDLIB_H /* Define to 1 if you have the header file. */ #undef HAVE_STRINGS_H /* Define to 1 if you have the header file. */ #undef HAVE_STRING_H /* Define to 1 if you have the header file. */ #undef HAVE_SYS_STAT_H /* Define to 1 if you have the header file. */ #undef HAVE_SYS_TYPES_H /* Define to 1 if you have the header file. */ #undef HAVE_UNISTD_H /* Define to the address where bug reports for this package should be sent. */ #undef PACKAGE_BUGREPORT /* Define to the full name of this package. */ #undef PACKAGE_NAME /* Define to the full name and version of this package. */ #undef PACKAGE_STRING /* Define to the one symbol short name of this package. */ #undef PACKAGE_TARNAME /* Define to the home page for this package. */ #undef PACKAGE_URL /* Define to the version of this package. */ #undef PACKAGE_VERSION /* The size of `long', as computed by sizeof. */ #undef SIZEOF_LONG /* Define to 1 if all of the C90 standard headers exist (not just the ones required in a freestanding environment). 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ÑcËÁÁ3gÎÄÌ™3…}Þ$"¢Çž®€Ç{‚DDôØ3&æææ ŸÍòóóM×[""¢bH,½'˜››‹‹/"77ùùù0+,,„Z]7'@DDd C`é=A+++tðõEÓ¦MQPPÑýûÕO>ù$TE…us&DDD&’›› +++˜™‹³aÇ‹ëº_DDDµ¢ô`ùK¡ :l˜È Df"ÜLO¯ÓNÕ´ÒÀ———Wr)´Cdf݃E €¨´àÏ‘‘jU± -š7‡µ•,,,ê¬ÓDDD5%7/bssäææ!ýV,,,ð /Š€rA°Ô7_­¾uû¶é{IDDT‹š5k¸÷ÿÑê†\-׊zIEND®B`‚RODBC/vignettes/RODBC.Rnw0000644000176000001440000022114014113153543014464 0ustar ripleyusers\documentclass[a4paper,11pt]{article} \usepackage{hyperref,color,url,alltt,parskip} %\usepackage{Sweave} \usepackage{Rd} % mainly for upright quotes. \usepackage{graphicx} %\newcommand{\code}[1]{\texttt{#1}} %\newcommand{\pkg}[1]{\texttt{#1}} %\newcommand{\var}[1]{\emph{#1}} %\newcommand{\link}[1]{#1} %\newcommand{\sQuote}[1]{`#1'} \newenvironment{smallexample}{\begin{alltt}\scriptsize}{\end{alltt}} \newenvironment{example}{\begin{alltt}\small}{\end{alltt}} \setcounter{topnumber}{2} \def\topfraction{1.0} \setcounter{bottomnumber}{1} \def\bottomfraction{.3} \setcounter{totalnumber}{3} \def\textfraction{0} \def\floatpagefraction{0.8} \setcounter{dbltopnumber}{2} \usepackage{color} \definecolor{Blue}{rgb}{0,0,0.8} \hypersetup{% colorlinks,% plainpages=true,% linkcolor=black,% citecolor=black,% urlcolor=Blue,% pdfstartview=FitH,% pdfview={XYZ null null null},% %pdfpagemode=UseNone,% pdftitle={ODBC Connectivity for R},% pdfauthor={B. D. Ripley}% } \begin{document} %\VignetteIndexEntry{ODBC Connectivity} %\VignetteDepends{RODBC} %\VignetteKeywords{databases} %\VignetteKeywords{ODBC} %\VignettePackage{RODBC} %\SweaveOpts{engine=R,eps=FALSE} \title{ODBC Connectivity} \author{by Brian Ripley\\ Department of Statistics, University of Oxford\\ \url{ripley@stats.ox.ac.uk} } \maketitle \sloppy \noindent Package \pkg{RODBC} implements ODBC database connectivity. It was originally written by Michael Lapsley (St George's Medical School, University of London) in the early days of R (1999), but after he disappeared in 2002, it was rescued and since much extended by Brian Ripley. Version 1.0-1 was released in January 2003, and \pkg{RODBC} is nowadays a mature and much-used platform for interfacing R to database systems. Thanks to Marc Schwartz for contributing some of the experiences here. See also the archives of the \code{R-sig-db} mailing list. \section{ODBC Concepts} ODBC aims to provide a common API for access to SQL\footnote{SQL is a language for querying and managing data in databases---see \url{https://en.wikipedia.org/wiki/SQL}.}-based database management systems (DBMSs) such as MySQL\footnote{and its fork, MariaDB}, PostgreSQL, Microsoft Access and SQL Server, DB2, Oracle and SQLite. It originated on Windows in the early 1990s, but ODBC \emph{driver managers} \code{unixODBC} and \code{iODBC} are nowadays available on a wide range of platforms (and \code{iODBC} is used by macOS. The connection to the particular DBMS needs an \emph{ODBC driver}: these may come with the DBMS or the ODBC driver manager or be provided separately by the DBMS developers, and there are third-party\footnote{but there are close links between \code{unixODBC} and Easysoft, and \code{iODBC} and OpenLink.} developers such as Actual Technologies, Easysoft and OpenLink. (This means that for some DBMSs there are several different ODBC drivers available, and they can behave differently.) Microsoft provides drivers on Windows for non-SQL database systems such as DBase and FoxPro, and even for flat files and Excel spreadsheets. Actual Technologies sell a driver for macOS that covers (some) Excel spreadsheets and flat files. A connection to a specific database is called a \emph{Data Source Name} or DSN (see \url{https://en.wikipedia.org/wiki/Database_Source_Name}). See Appendix~B for how to set up DSNs on your system. One of the greatest advantages of ODBC is that it is a cross-platform client-server design, so it is common to run R on a personal computer and access data on a remote server whose OS may not even be known to the end user. This does rely on suitable ODBC drivers being available on the client: they are for the major cross-platform DBMSs, and some vendors provide `bridge' drivers, so that for example a `bridge' ODBC driver is run on a Linux client and talks to the Access ODBC driver on a remote Windows machine. ODBC provides an abstraction that papers over many of the differences between DBMSs. That abstraction has developed over the years, and \pkg{RODBC} works with ODBC version 3. This number describes both the API (most drivers nowadays work with API 3.51 or 3.52) and capabilities. The latter allow ODBC drivers to implement newer features partially or not at all, so some drivers are much more capable than others: in the main \pkg{RODBC} works with basic features. ODBC is a superset of the ISO/IEC 9075-3:1995 SQL/CLI standard. A somewhat biased overview of ODBC on Unix-alikes can be found at \url{https://www.easysoft.com/developer/interfaces/odbc/linux.html}. \section{Basic Usage} Two groups of functions are provided in \pkg{RODBC}. The mainly internal \code{odbc*} commands implement low-level access to C-level ODBC functions with similar\footnote{in most cases with prefix \code{SQL} replacing \code{odbc}.} names. The \code{sql*} functions operate at a higher level to read, save, copy and manipulate data between data frames and SQL tables. The two low-level functions which are commonly used make or break a connection. \subsection{Making a connection} ODBC works by setting up a \emph{connection} or \emph{channel} from the client (here \pkg{RODBC}) to the DBMSs as specified in the DSN. Such connections are normally used throughout a session, but should be closed explicitly at the end of the session---however \pkg{RODBC} will clear up after you if you forget (with a warning that might not be seen in a GUI environment). There can be many simultaneous connections. The simplest way to make a connection is \begin{example} library(RODBC) ch <- odbcConnect("\var{some\_dsn}") \end{example} and when you are done with it, \begin{example} close(ch) # or if you prefer odbcClose(ch) \end{example} The connection object \code{ch} is how you specify one of potentially many open connections, and is the first argument to all other \pkg{RODBC} functions. If you forget the details, printing it will give some summary information. If the DBMS user and password are needed and not stored in the DSN, they can be supplied by e.g.{} \begin{example} ch <- odbcConnect("\var{some\_dsn}", uid = "\var{user}", pwd = "\var{****}") \end{example} Users of the R GUI under Windows\footnote{This does not work from \code{Rterm.exe}.} have another possibility: if an incompletely specified DSN is given, the driver-specific Data Source dialog box will pop up to allow it to be completed. % Something about security here? More flexibility is available \emph{via} function \code{odbcDriverConnect}, which works with a \emph{connection string}. At its simplest it is \begin{example} "DSN=\var{dsn};UID=\var{uid};PWD=\var{pwd}" \end{example} but it can be constructed without a DSN by specifying a driver directly \emph{via} \code{DRIVER=}, and more (in some cases many more) driver-specific parameters can be given. See the documentation for the driver (and Appendix~A) for more details. \subsection{Reading from a database} where `database' can be interpreted very widely, including for example Excel spreadsheets and directories of flat files. The simplest and most common use of \pkg{RODBC} is to extract data from databases held on central database servers. Such access is read-only, and this can be enforced by settings in the DSN or \emph{via} permission settings (also known as \emph{privileges}) on the database. To find out what tables are accessible from a connection \code{ch}, use \begin{example} sqlTables(ch) \end{example} Some drivers will return all visible table-like objects, not just those owned by you. In that case you may want to restrict the scope by e.g.{} \begin{example} sqlTables(ch, tableType = "TABLE") sqlTables(ch, schema = "\var{some\_pattern}") sqlTables(ch, tableName = "\var{some\_pattern}") \end{example} The details are driver-specific but in most cases \code{\var{some\_pattern}} can use wildcards\footnote{these are the SQL wildcards used for example in \code{LIKE} clauses.} with \emph{underscore} matching a single character and \emph{percent} matching zero or more characters. Since underscore is a valid character in a table name it can be handled literally by preceding it by a backslash---but it is rarely necessary to do so. A table can be retrieved as a data frame by \begin{example} res <- sqlFetch(ch, "\var{table\_name}") \end{example} If it has many rows it can be retrieved in sections by \begin{example} res <- sqlFetch(ch, "\var{table\_name}", max = \var{m}) res <- sqlFetchMore(ch, "\var{table\_name}", max = \var{m}) \dots \end{example} It is often necessary to reduce the data to be transferred: we have seen how to subset rows, but it can be more effective to restrict the columns or to return only rows meeting some conditions. To find out what columns are available, use \code{sqlColumns}, for example \begin{smallexample} > sqlColumns(ch, "USArrests") TABLE\_CAT TABLE\_SCHEM TABLE\_NAME COLUMN\_NAME DATA\_TYPE TYPE\_NAME COLUMN\_SIZE 1 ripley USArrests State 12 varchar 255 2 ripley USArrests Murder 8 double 15 3 ripley USArrests Assault 4 integer 10 4 ripley USArrests UrbanPop 4 integer 10 5 ripley USArrests Rape 8 double 15 \dots \end{smallexample} Then an \emph{SQL Query} can be used to return part of the table, for example (MySQL on Linux) \begin{example} > sqlQuery(sh, paste("SELECT State, Murder FROM USArrests", + "WHERE Rape > 30 ORDER BY Murder")) State Murder 1 Colorado 7.9 2 Arizona 8.1 3 California 9.0 4 Alaska 10.0 5 New Mexico 11.4 6 Michigan 12.1 7 Nevada 12.2 8 Florida 15.4 \end{example} Note that although there are standards for SQL, all the major producers of DBMSs have their own dialects, so for example on the Oracle and DB2 systems we tested this query had to be given as \begin{example} > sqlQuery(ch, paste('SELECT "State", "Murder" FROM "USArrests"', + 'WHERE "Rape" > 30 ORDER BY "Murder"')) \end{example} or even in upper case. Describing how to extract data from databases is the \emph{forte} of the SQL language, and doing so efficiently is the aim of many of the DBMSs, so this is a very powerful tool. To learn SQL it is best to find a tutorial specific to the dialect you will use; for example Chapter~3 of the MySQL manual is a tutorial. A basic tutorial which covers some common dialects\footnote{MySQL, Oracle and Microsoft SQL Server.} can be found at \url{http://www.1keydata.com/sql/sql.html}: tutorials on how to perform common tasks in several commonly used DBMSs are available at \url{http://sqlzoo.net/}. % <<>>= % library(RODBC) % channel <- odbcConnect("test") % sqlSave(channel, USArrests, rownames = "State", verbose = TRUE) % sqlQuery(channel, paste("select State, Murder from USArrests", % "where Rape > 30 order by Murder")) % sqlFetch(channel, "USArrests", rownames = "State") % sqlDrop(channel, "USArrests") % close(channel) % @ \subsection{Table Names} SQL-92 expects both table and column names to be alphanumeric plus underscore, and \pkg{RODBC} does not in general support vendor extensions (for example Access allows spaces). There are some system-specific quoting schemes: Access and Excel allow table names to be enclosed in \code{[ ]} in SQL queries, MySQL (by default) quotes \emph{via} backticks, and most other systems use the ANSI SQL standard of double quotes. %More recent SQL standards allow \code{\$} and \code{\#} under some %circumstances. The \code{odbcConnnect} function allows the specification of the quoting rules for names \pkg{RODBC} itself sends, but sensible defaults\footnote{backticks for MySQL, \code{[ ]} for the Access and Excel convenience wrappers, otherwise ANSI double quotes.} are selected. Users do need to be aware of the quoting issue when writing queries for \code{sqlQuery} themselves. Note the underscore is a wildcard character in table names for some of the functions, and so may need to be escaped (by backslash) at times. Normally table names containing a period are interpreted as references to another schema (see below): this can be suppressed by opening the connection with argument \code{interpretDot = FALSE}. \subsection{Types of table} The details are somewhat DBMS-specific, but `tables' usually means `tables, views or similar objects'. In some systems `tables' are physical objects (files) that actually store data---Mimer calls these \emph{base tables}. For these other `tables' can be derived that present information to the user, usually called `views'. The principal distinctions between a (base) table and a view are \begin{itemize} \item Using \code{DROP} on a table removes the data, whereas using it on a view merely removes the convenient access to a representation of the data. \item The access permission (\emph{privilege}) of a view can be very different from those of a table: this is commonly used to hide sensitive information. \end{itemize} A view can contain a subset of the information available in a single table or combine information from two or more tables. Further, some DBMSs distinguish between tables and views generated by ordinary users and \emph{system tables} used by the DBMS itself. Where present, this distinction is reflected in the result of \code{sqlTable()} calls. Some DBMSs support \emph{synonyms} and/or \emph{aliases} which are simply alternative names for an existing table/view/synonym, often those in other schemas (see below). Typically tables, views, synonyms and aliases share a name space and so must have a name that is unique (in the enclosing schema where schemas are implemented). \section{Writing to a Database} To create or update a table in a database some more details need to be considered. For some systems, all table and column names need to be lower case (e.g.{} PostgreSQL, MySQL on Windows) or upper case (e.g.{} some versions of Oracle). To make this a little easier, the \code{odbcConnect} function allows a remapping of table names to be specified, and this happens by default for DBMSs where remapping is known to be needed. The main tool to create a table is \code{sqlSave}. It is safest to use this after having removed any existing table of the same name, which can be done by \begin{example} sqlDrop(ch, "\var{table\_name}", errors = FALSE) \end{example} Then in the simplest usage \begin{example} sqlSave(ch, \var{some\_data\_frame}) \end{example} creates a new table whose name is the name of the data frame (remapped to upper or lower case as needed) and with first column \code{rownames} the row names of the data frame, and remaining columns the columns of the data frame (with names remapped as necessary). For the many options, see the help page. \code{sqlSave} works well when asked to write integer, numeric and reasonable-length\footnote{which of course depends on the DBMS. Almost all have an implementation of \code{varchar} that allows up to 255 bytes or characters, and some have much larger limits. Calling \code{sqlTypeInfo} will tell you about the data type limits.} character strings to the database. It needs some help with other types of columns in mapping to the DBMS-specific types of column. For some drivers it can do a good job with date and date-time columns; in others it needs some hints (and e.g.{} for Oracle dates are stored as date-times). The files in the \code{RODBC/tests} directory in the sources and the installed file \code{tests.R} provide some examples. One of the options is the \code{fast} argument: the default is \code{fast = TRUE} which transfers data in binary format: the alternative is \code{fast = FALSE} which transfer data as character strings a row at a time---this is slower but can work better with some drivers (and worse with others). The other main tool for writing is \code{sqlUpdate} which is used to change rows in an existing table. Note that \pkg{RODBC} only does this in a simple fashion, and on up-market DBMSs it may be better to set cursors and use direct SQL queries, or at least to control transactions by calls to \code{odbcSetAutoCommit} and \code{odbcEndTran}. The basic operation of \code{sqlUpdate} is to take a data frame with the same column names (up to remapping) as some or all of the columns of an existing table: the values in the data frame are then used either to replace entries or to create new rows in the table. Rows in a DBMS table are in principle unordered and so cannot be referred to by number: the sometimes tricky question is to know what rows are to replaced. We can help the process by giving one or more \code{index} columns whose values must match: for a data frame the row names are often a good choice. If no \code{index} argument is supplied, a suitable set of columns is chosen based on the properties of the table. \subsection{Primary keys and indices} When a table is created (or afterwards) it can be given additional information to enable it to be used effectively or efficiently. \emph{Primary keys} are one (usually) or more columns that provide a reliable way to reference rows in the table: values of the primary key must be unique and not \code{NULL} (SQL parlance for `missing'). Primary keys in one table are also used as \emph{foreign keys} in another table: this ensure that e.g.{} values of \code{customer\_id} only take values which are included in the primary key column of that name in table \code{customers}. Support of foreign keys is patchy: some DBMSs (e.g,{} MySQL prior to 6.0) accept specifications but ignore them. \pkg{RODBC} allows primary keys to be set as part of the \code{sqlSave()} function when it creates a table: otherwise they can be set by \code{sqlQuery()} in DBMS-specific ways (usually by \code{ALTER TABLE}). Columns in a table can be declared as \code{UNIQUE}: primary keys and such columns are usually used as the basis for table indices, but other indices (sometimes called \emph{secondary indices}) can be declared by a \code{CREATE INDEX} SQL command. Whether adding primary keys or other indices has any effect on performance depends on the DBMS and the query. \section{Data types} This can be confusing: R has data types (including \code{character}, \code{double}, \code{integer} and various classes including \code{Date} and \code{POSIXct}), ODBC has both C and SQL data types, the SQL standards have data types and so do the various DBMSs \emph{and they all have different names} and different usages of the same names. Double- and single-precision numeric values and 32- and 16-bit integers (only) are transferred as binary values, and all other types as character strings. However, unless \code{as.is = TRUE}, \code{sqlGetResults} (used by all the higher-level functions to return a data frame) converts character data to a date/date-time class or \emph{via} \code{type.convert}. You can find out the DBMS names for the data types used in the columns of a table by a call to \code{sqlColumns}, and further information is given on those types in the result of \code{sqlTypeInfo}. For example in MySQL, \begin{smallexample} TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME COLUMN_SIZE 1 ripley USArrests State 12 varchar 255 2 ripley USArrests Murder 8 double 15 3 ripley USArrests Assault 4 integer 10 4 ripley USArrests UrbanPop 4 integer 10 5 ripley USArrests Rape 8 double 15 BUFFER_LENGTH DECIMAL_DIGITS NUM_PREC_RADIX NULLABLE REMARKS COLUMN_DEF 1 255 NA NA 0 '' 2 8 NA NA 1 3 4 0 10 1 4 4 0 10 1 5 8 NA NA 1 SQL_DATA_TYPE SQL_DATETIME_SUB CHAR_OCTET_LENGTH ORDINAL_POSITION IS_NULLABLE 1 12 NA 255 1 NO 2 8 NA NA 2 YES 3 4 NA NA 3 YES 4 4 NA NA 4 YES 5 8 NA NA 5 YES \end{smallexample} This gives the DBMS data by name and by number (twice, once the number used in the DBMS and once that used by SQL---they agree here). Other things of interest here are the column size, which gives the maximum size of the character representation, and the two columns about `nullable' which indicate if the column is allowed to contain missing values (SQL \code{NULL}s). The result of \code{sqlTypeInfo} has 19 columns and in the version of MySQL used here, 52 types. We show a small subset of the more common types: \begin{smallexample} > sqlTypeInfo(channel)[<...>, c(1:3,7,16)] TYPE_NAME DATA_TYPE COLUMN_SIZE NULLABLE SQL_DATATYPE 1 bit -7 1 1 -7 2 tinyint -6 3 1 -6 6 bigint -5 19 1 -5 18 text -1 65535 1 -1 19 mediumtext -1 16777215 1 -1 20 longtext -1 2147483647 1 -1 22 char 1 255 1 1 23 numeric 2 19 1 2 24 decimal 3 19 1 3 25 integer 4 10 1 4 37 smallint 5 5 1 5 41 double 6 15 1 6 43 float 7 7 1 7 45 double 8 15 1 8 47 date 91 10 1 9 48 time 92 8 1 9 49 year 5 4 1 5 50 datetime 93 21 1 9 51 timestamp 93 14 0 9 52 varchar 12 255 1 12 \end{smallexample} Note that there are both duplicate type names and duplicate type numbers. Most DBMSs started with their own data types and later mapped the standard SQL data types on to them, although these may only be partially implemented. Some DBMSs allow user-defined data types, for example enumerations. Commonly used data types fall into a number of groups: \begin{description} \item[Character types] Character types can be classified three ways: fixed or variable length, by the maximum size and by the character set used. The most commonly used types\footnote{the SQL names for these are \code{CHARACTER VARYING} and \code{CHARACTER}, but these are too cumbersome for routine use.} are \code{varchar} for short strings of variable length (up to some maximum) and \code{char} for short strings of fixed length (usually right-padded with spaces). The value of `short' differs by DBMS and is at least 254, often a few thousand---often other types will be available for longer character strings. There is a sanity check which will allow only strings of up to 65535 bytes when reading: this can be removed by recompiling \pkg{RODBC}. Many other DBMSs have separate types to hold Unicode character strings, often with names like \code{nvarchar} or \code{wvarchar}. Note that currently \pkg{RODBC} only uses the current locale for character data, which could be UTF-8 (and will be on macOS and in many cases on Linux and other Unix-alikes), but is never UCS-2 as used on Windows. So if character data is stored in the database in Unicode, it will be translated (with a possible loss of information) in non-Unicode locales. (This may change in future versions of \pkg{RODBC}.) Some DBMSs such as PostgreSQL and Microsoft SQL Server allow variable-length character strings of length only limited by resources. These do not fit well with the ODBC model that requires buffers to be allocated to transfer character data, and so such types may be subjected (by the ODBC driver) to a fixed limit or not work at all. \item[Integer types] Most DBMSs have types for 32-bit (\code{integer}, synomyn \code{int}) and 16-bit (\code{smallint}) integers. Some, including MySQL, also have unsigned versions and 1-bit, 8-bit and 64-bit integer types: these further types would usually be transferred as character strings and converted on reading to an \code{integer} or \code{double} vector. Type names \code{int2}, \code{int4} and \code{int8} are common as synonyms for the basic type names. The SQL standard does not require \code{integer} and \code{smallint} to be binary (rather than decimal) types, but they almost always are binary. Note that 64-bit integers will be transferred as character strings and read by \code{sqlGetResults} as character vectors or (for $2^{31} \le |x| < 2^{53}$) as \code{double} vectors. \item[Floating-point types] The basic SQL floating-point types are 8 and 7 for double- and single-precision binary types. The SQL names are \code{double precision} and \code{real}, but beware of the variety of names. Type~6 is \code{float} in the standard, but is used by some DBMSs\footnote{In Oracle the \code{FLOAT} type is a decimal and not a binary type.} for single-precision and by some for double-precision: the forms \code{float(24)} and \code{float(53)} are also commonly supported. You should not assume that these types can store \code{Inf}, \code{-Inf} or \code{NaN}, but they often can. \item[Other numeric types] It is common to store decimal quantities in databases (e.g.{} currency amounts) and types 2 and 3 are for decimals. Some DBMSs have specialized types to handle currencies, e.g.{} \code{money} in Microsoft SQL Server. Decimal types have a \emph{precision} (the maximum number of significant decimal digits) and \emph{scale} (the position of the decimal point). \code{numeric} and \code{decimal} are usually synonymous, but the distinction in the standards is that for \code{numeric} the precision is exact whereas for \code{decimal} the DBMS can use a larger value than that specified. % e.g. Mimer Some DBMSs have a type \code{integer(\var{p})} to represent up to \code{\var{p}} decimal digits, and this may or may not be distinct from \code{decimal(\var{p}, 0)}. % 'currently' is from 5.1.x DBMSs do not necessarily fully implement decimal types, e.g.{} MySQL currently stores them in binary and used to store them as character strings. \item[Dates and times] The handling of dates and times is very much specific to the DBMS. Some allow fractional seconds in date-times, and some do not; some store timezones with date-times or always use UTC and some do not, and so on. Usually there are also types for time intervals. All such types are transferred as character strings in \pkg{RODBC}. \item[Binary types] These are less common, and unsupported by \pkg{RODBC} prior to version 1.3-0. They parallel character types in that they are a sequence of bytes of fixed or variable length, sometimes with additional types for long sequences: there are separate ODBC types for \code{SQL\_BINARY}, \code{SQL\_VARBINARY} and \code{SQL\_LONGVARBINARY}. Binary types can currently only be read as such, and they are returned as column of class \code{"ODBC\_binary"} which is a list of raw vectors. \end{description} % An example is BOOLEAN in Mimer It is possible (but rare) for the DBMS to support data types that the ODBC driver cannot handle. \subsection{Data types when saving a data frame} When \code{sqlSave} creates a table, there is some choice as to the SQL data types used. The default is to select the SQL data type from the R type via the \code{typeInfo} argument to \code{sqlSave}. If this is not supplied (usual) a default mapping is looked up using \code{getSqlTypeInfo()} or by interrogating \code{\link{sqlTypeInfo()}}. This will almost always produce the correct mapping for numeric, integer and character columns of up to 254 characters (or bytes). In other cases (include dates and date-times) the desired SQL type can be specified for each column \emph{via} the argument \code{varTypes}, a named character vector with names corresponding to (some of) the names in the data frame to be saved. Only a very few DBMSs have a logical data type and the default mapping is to store R logical vectors as \code{varchar(5)}. For others DBMSs \code{BIT}, \code{TINYINT} or an enumeration type could be used (but the column may be need to be converted to and from a suitable representation). For example, in MySQL we could use \code{enum('FALSE', 'TRUE')}, but this is actually stored as \code{char(5)}. Note that to represent \code{NA} the SQL data type chosen needs to be nullable, which \code{BIT} often is not. (Mimer has a nullable data type \code{BOOLEAN} but this is not supported by the ODBC client.) \subsection{SQLite} SQLite's concept of `data type' is anomalous: version~3 does recognize types of data (in version~2 everything was a character string), but it does not have a fixed type for a column in a table (although the type specified in the \code{CREATE TABLE} statement is a `recommended' type for the values of that column). Every value is categorized as null, integer (of length 1, 2, 3, 4, 6 or 8 bytes), double, text (UTF-8 or UTF-16) or BLOB (a sequence of bytes). This does not fit well with the ODBC interface which pre-determines a type for each column before reading or writing it: the `SQLite ODBC' driver falls back to a \code{SQL\_VARCHAR} or \code{SQL\_LONGVARCHAR} type if the column type is not available. \subsection{ODBC data types} ODBC defines two sets of data types: \emph{SQL data types} and \emph{C data types}. SQL data types indicate the data types of data stored at the data source using standard names. C data types indicate the data types used in the compiled code in the application (here \pkg{RODBC}) when transferring data and are the same for all drivers. The ODBC SQL data types are abstractions of the data types discussed above with names like \code{SQL\_INTEGER}. They include \code{SQL\_LONGVARCHAR} for large character types and \code{SQL\_WVARCHAR} for Unicode character types. It is usually these types that are returned (by number) in the \code{SQL\_DATA\_TYPE} column of the result of \code{sqlColumns} and \code{SQL\_DATATYPE} column of the result of \code{sqlTypeInfo}. The mapping from names to numbers is given in table~1. \begin{table}[tbp] \qquad{\small\tt \begin{tabular}{lrlr} SQL\_CHAR&1&SQL\_LONGVARCHAR&-1\\ SQL\_NUMERIC&2&SQL\_BINARY&-2\\ SQL\_DECIMAL&3&SQL\_VARBINARY&-3\\ SQL\_INTEGER&4&SQL\_LONGVARBINARY&-4\\ SQL\_SMALLINT&5&SQL\_BIGINT&-5\\ SQL\_FLOAT&6&SQL\_TINYINT&-6\\ SQL\_REAL&7&SQL\_BIT&-7\\ SQL\_DOUBLE&8&SQL\_WCHAR&-8\\ SQL\_DATETIME&9&SQL\_WVARCHAR&-9\\ SQL\_INTERVAL&10&SQL\_WLONGVARCHAR&-10\\ SQL\_TIMESTAMP&11&SQL\_GUID&-11\\ SQL\_VARCHAR&12\\ SQL\_TYPE\_DATE&91\\ SQL\_TYPE\_TIME&92\\ SQL\_TYPE\_TIMESTAMP&93 \end{tabular}} \caption{Mapping between ODBC SQL data type names and numbers. (GUIDs are 16-byte numbers, Microsoft's implementation of UUIDs.)} \end{table} The only ODBC C data types currently used by \pkg{RODBC} are \code{SQL\_C\_DOUBLE}, \code{SQL\_C\_SLONG} (32-bit signed integers) and \code{SQL\_C\_CHAR} for reading and writing, and \code{SQL\_C\_FLOAT} (single-precision), \code{SQL\_C\_SSHORT} (16-bit signed integers) and \code{SQL\_C\_BINARY} for reading from the database. \url{https://msdn.microsoft.com/en-us/library/ms713607%28VS.85%29.aspx} is the defintiive source of information about ODBC data types. \section{Schemas and Catalogs} This is a more technical section: few users will need to deal with these concepts. \sQuote{Schemas}\footnote{which is the usual plural in this technical usage, athough \emph{schemata} is more usual in English.} are collections of objects (such as tables and views) within a database that are supported by some DBMSs: often a separate schema is associated with each user (and \sQuote{schema} in ODBC~3 replaced \sQuote{owner} in ODBC~2). In SQL-92, schemas are collected in a \sQuote{catalog} which is often implemented as a database. Where schemas are implemented, there is a \emph{current schema} used to find unqualified table names, and tables in other schemas can be referred to within SQL queries using the \code{\var{schema}.\var{table}} notation. You can think of a schema as analogous to a name space; it allows related objects to be grouped together without worrying about name clashes with other groups. (Some DBMSs will search for unqualified table names in a search path: see the detailed descriptions below.) Note that \sQuote{schema} is used in another sense in the database literature, for the design of a database and in particular of tables, views and privileges. Here are some details of various DBMSs' interpretations of \code{catalog} and \code{schema} current at the time of writing (mid 2009). (These descriptions are simplistic, and in some cases experimental observations.) \begin{itemize} \item SQLite uses dotted names for alternative databases that are attached by an \code{ATTACH DATABASE} command.\footnote{and may be subsequently detached by a \code{DETACH DATABASE} command} There is a search path of databases, so it is only necessary to use the dotted name notation when there are tables of the same name on attached databases. The initial database is known as \code{main} and that used for temporary tables as \code{temp}. \item MySQL uses \code{catalog} to refer to a database. In MySQL's parlance, `schema' is a little-used synonym for \sQuote{database}. \item PostgreSQL only allows a session to access one database, and does not use `catalog' except to refer to the current database. Version 7.3 introduced schemas---users can create their own schemas with a \code{CREATE SCHEMA} query. Tables are by default in the \code{public} schema, and unqualified table names are searched for along a \sQuote{search path} of schemas (by default, containing \code{public}). \item Oracle uses schemas as synonymous with \sQuote{owner} (also known as \sQuote{user}). There is no way for a user to create additional schemas (that is not what \code{CREATE SCHEMA} does in Oracle). \item IBM DB2 uses schemas as name spaces for objects that may lie on different databases: using \emph{aliases} allows objects to be in more than one schema. The initial current schema is named the same as the user (\code{SQLID} in DB2 parlance), but users can create additional schemas with \code{CREATE SCHEMA} statements. \item Microsoft SQL Server 2008 uses both \code{catalog} and \code{schema}, \code{catalog} for the database and \code{schema} for the type of object, e.g. \code{"sys"} for most of the system tables/views and (default) \code{"dbo"} for user tables. Further schemas can be created by users. The default schema for a user can be set when the user is created and changed \emph{via} \code{ALTER USER}. Prior to SQL Server 2005, `schema' meant `user', and the search path for unqualified names was the database user then \code{"dbo"}. \item The Microsoft Excel and Access ODBC drivers do not use schemas, but do use \code{catalog} to refer to other database/spreadsheet files. \item Mimer (\url{www.mimer.com}) uses schemas which are normally the same as users (which it calls \emph{IDENT}s), but users can create additional schemas with \code{CREATE SCHEMA} statements. There are also system schemas. Mimer uses `schemata' as the plural of schema. \end{itemize} It is often possible to use \code{sqlTables} to list the available catalogs or schemas: see its help page for the driver-specific details. \pkg{RODBC} usually works with tables in the current schema, but unless the connection was opened with \code{interpretDot = FALSE} most functions will attempt to interpret the `dotted name' notation. The interpretation depends on the DBMS: the SQL-92 meaning is \code{\var{schema}.\var{table}} and this is accepted by PostgreSQL, Microsoft SQL Server, Oracle, DB2 and Mimer. However, MySQL uses \code{\var{database}.\var{table}}, and the functions try\footnote{currerntly this is stymied by bugs in the ODBC driver, so \code{SQLColumns} is unable to report on tables in specified databases.} that interpretation if they recognize a MySQL driver. Some DBMSs allow more than two components, but these are not currently supported by the \pkg{RODBC} functions. Functions \code{sqlTables}, \code{sqlColumns} and \code{sqlPrimaryKeys} have arguments \code{catalog} and \code{schema} which in principle allow tables in other schemas to be listed or examined: however these are only partially implemented in many current ODBC drivers. See the help page for \code{sqlTables} for some further details. For other uses, the trick is to select the schema(s) you want to use, which is done \emph{via} an SQL statement sent by \code{sqlQuery}. For Oracle you can set the default schema (owner) by \begin{example} \code{ALTER SESSION SET CURRENT\_SCHEMA = \var{schema}} \end{example} % http://sqlzoo.net/howto/source/z.dir/tip988922/oracle whereas for PostgreSQL the search path can be changed \emph{via} \begin{example} \code{SET search\_path TO \var{schema1},\var{schema2}}. \end{example} % see also https://stat.ethz.ch/pipermail/r-help/2008-May/161304.html In DB2, creating an alias in the current schema can be used to access tables in other schemas, and a \code{CURRENT SCHEMA} query can be used to change the current schema. In MySQL and Microsoft SQL Server a database can be selected by a \code{USE \var{database}} query. \section{Internationalization Issues} Internationalization issues are made more complex by ODBC being a client-server system, and the ODBC client (\pkg{RODBC}) and the server may be running on different machines with different OSes on different continents. So the client may need some help. In most cases numeric data are transferred to and from R in binary form, so the representation of the decimal point is not an issue. But in some cases it could be (e.g.{} decimal rather than binary SQL data types will be transferred as character strings) and then the decimal point to be used will be taken from \code{options("dec")}: if unset this is set when \pkg{RODBC} is loaded from the setting of the current locale on the machine running R (\emph{via} \code{Sys.localeconv}). Some ODBC drivers (e.g.{} for Microsoft SQL Server, Oracle) allow the locale (`NLS') to be used for numeric values to be selected for the connection. The other internationalization issue is the character encoding used. When R and the DBMS are running on the same machine this is unlikely to be an issue, and in many cases the ODBC driver has some options to translate character sets. SQL is an ANSI (US) standard, and DBMSs tended to assume that character data was ASCII or perhaps 8-bit. More recently DBMSs have started to (optionally or by default) to store data in Unicode, which unfortunately means UCS-2 on Windows and UTF-8 elsewhere. So cross-OS solutions are not guaranteed to work, but most do. Encoding issues are best resolved in the ODBC driver or in DBMS settings. In the unusual case that this cannot be done, the \code{DBMSencoding} argument to \code{odbcDriverConnect} allows for recoding when sending data to or from the ODBC driver and thence the DBMS. \section{Excel Drivers} The Microsoft Excel ODBC drivers (Windows only) have a number of peculiarities which mean that it should be used with care. It seems that their concept of a `table' is principally a \emph{named range}. They treat worksheets as system tables, and append a dollar to their name (making then non-standard SQL table names: the quoting convention used is to enclose such names in square brackets). Column names are taken as the first row of the named range/worksheet. Non-standard SQL names are allowed here too, but the driver maps \code{.} to \code{\#} in column names. Annoyingly, \code{sqlTables} is allowed to select named ranges only by \code{tableType = "TABLE"} but not to select only worksheets. There are at least two known problems with reading columns that do not have a format set \emph{before} data entry, and so start with format \sQuote{General}. First, the driver uses the first few rows to determined the column type, and is over-fond of declaring \sQuote{Numeric} even when there are non-numeric entries. The default number of rows consulted is 8, but attempts to change this in the DSN setup are ignored. Second, if a column is declared as \sQuote{Text}, numeric entries will be read as SQL nulls and hence R \code{NA}s. Unfortunately, in neither case does reformatting the column help. % http://support.microsoft.com/kb/141284 The connection is by default read-only. It is possible to de-select this in the DSN (and the convenience wrapper \code{odbcConnectExcel} has a \code{readOnly = FALSE} argument to do so), but this does not support deletion, including SQL \code{DROP}, \code{DELETE}, \code{UPDATE} and \code{ALTER} statements). In particular, \code{\link{sqlDrop}} will remove the data in a worksheet but not the worksheet itself. % http://publib.boulder.ibm.com/infocenter/db2luw/v8/index.jsp?topic=/com.ibm.db2.ii.doc/opt/tlsodb13.htm % http://www.stata.com/support/faqs/data/odbc_excel.html The driver does allow a worksheet to be updated by \code{sqlUpdate}, and for a new worksheet (with a different name from existing worksheets) to be created by \code{sqlSave} (which also creates a named range). As far as we know, no similar issues affect the Actual Technologies macOS Excel driver: however, it allows only read-only access to Excel files and does not support Excel 2007-and-later \code{.xlsx} files. \section{DBMS-specific tidbits} This section covers some useful DBMS-specific SQL commands and other useful details. Recent versions of several DBMSs have a schema \code{INFORMATION\_SCHEMA} that holds many predefined system views. These include MySQL (the name of a database, mainly populated beginning with MySQL~5.1), Microsoft SQL Server and Mimer. \subsection*{MySQL} Comments about MySQL are mostly applicable to its forks such as MariaDB. We have already mentioned \code{USE \var{database}} as the way to change the database in use. \code{SHOW DATABASES} lists the databases `for which you have some kind of privilege', and can have a \code{LIKE} clause to restrict the result to some pattern of database names. % MySQL 5.1 manual 12.3 The \code{DESCRIBE \var{table}} command is a compact way to get a description of a table or view, similar to the most useful parts of the result of a call to \code{sqlColumns}. (It is also known as \code{SHOW COLUMNS FROM \var{table}}.) \code{SHOW TABLES} is the command to produce a table of the tables/views on the current database, similar to \code{sqlTables}. For example, \begin{example} > sqlQuery(channel, "USE ripley") [1] "No Data" > sqlQuery(channel, "SHOW TABLES") Tables_in_ripley 1 USArrests > sqlQuery(channel, "DESCRIBE USArrests") Field Type Null Key Default Extra 1 State varchar(255) NO PRI NA NA 2 Murder double YES NA NA 3 Assault int(11) YES NA NA 4 UrbanPop int(11) YES NA NA 5 Rape double YES NA NA \end{example} \noindent \code{SHOW FULL TABLES} gives an additional additional column \code{Table\_type}, the types of the tables/views. There is useful information for end users in the \code{INFORMATION\_SCHEMA} \emph{database}, much more extensively as from MySQL~5.1. Some of the non-standard behaviour can be turned off, e.g.{} starting MySQL with \code{--sql-mode=ANSI} gives closer conformance to the standard, and this can be set for a single session by \begin{example} SET SESSION sql\_mode='ANSI' \end{example} To change just the behaviour of quotes (to use double quotes in place of backticks) replace \code{ANSI} by \code{ANSI\_QUOTE}. % manual section 10.4 The maximum size of a \code{char} column is 255 characters. That of a \code{varchar} column is up to 65535 characters (but there is a limit of 65535 bytes on the total size of a row), and those with a maximum of 255 or less are stored more efficiently. Types \code{text}, \code{mediumtext} and \code{longtext} can hold more, and are not subject to the row-size limit (\code{text} has default maximum size 65535, the default \pkg{RODBC} limit on transfers). There are \code{binary}, \code{varbinary} and \code{blob} types which are very similar to their character counterparts but with lengths in bytes. \subsection*{PostgreSQL} Table \code{pg\_tables} lists all tables in all schemas; you probably want to filter on \code{tableowner='\var{current\_user}'}, e.g.{} \begin{smallexample} > sqlQuery(channel, "select * from pg_tables where tableowner='ripley'") schemaname tablename tableowner tablespace hasindexes hasrules hastriggers 1 public dtest ripley NA 0 0 0 \end{smallexample} There are both ANSI and Unicode versions of the ODBC driver on Windows: they provide many customizations. One of these is read-only access, another is if system tables are reported by \code{sqlTables}. % manual chapter 8 The default size of a \code{varchar} column is unlimited, but those with maximum length of 126 bytes or less are stored more efficiently. However, the ODBC interface has limits, which can be set in the configuration options. These include the maximum sizes for \code{varchar} (default 254) and \code{longvarchar} (default 8190), and how to handle unknown column sizes (default as the maximum), and whether `Text' is taken as \code{varchar} or \code{longvarchar} (which affects the reported maximum size for a \code{varchar} column). There is a single binary data type, \code{bytea}. \subsection*{SQLite} These comments are only about SQLite~3.x. Table \code{sqlite\_master} lists tables and indices, and the \code{sql} column gives the SQL command used. E.g.{} \begin{example} > tmp <- sqlQuery(channel, "select * from sqlite_master") > tmp[, "sql"] <- substr(tmp[, "sql"], 1, 16) > tmp type name tbl_name rootpage sql 1 table USArrests USArrests 2 CREATE TABLE "US 2 index sqlite_autoindex_USArrests_1 USArrests 4 \end{example} My current versions of Christian Werner's SQLite~ODBC driver store character data in the current locale's charset (e.g.{} UTF-8) on Unix-alikes and by default in Unicode (UCS-2) on Windows (unless de-selected in the DSN configuration). The default collation for text data is byte-by-byte comparisons, so avoid comparing non-ASCII character data in SQLite. Actual Technologies sell an SQLite driver for macOS which requires \code{believeNRows = FALSE} and has a number of other issues including that it seems not to support dropping tables. (Christian Werner's SQLite~ODBC driver was easy to install from the sources and worked correctly.) Version of the SQLite~ODBC driver since 0.87 have segfaulted on the test suite. \subsection*{Oracle} Tables \code{cat}, \code{user\_table} and \code{user\_catalog} contain useful information on tables. Information on columns is in \code{all\_tab\_columns}, e.g.{} \begin{example} > sqlQuery(channel, "select * from all\_tab\_columns where table_name='USArrests'") OWNER TABLE_NAME COLUMN_NAME DATA_TYPE DATA_TYPE_MOD 1 RIPLEY USArrests State VARCHAR2 NA 2 RIPLEY USArrests Murder FLOAT NA 3 RIPLEY USArrests Assault NUMBER NA 4 RIPLEY USArrests UrbanPop NUMBER NA 5 RIPLEY USArrests Rape FLOAT NA ... \end{example} The Windows ODBC driver we tested had an option for a read-only connection. % SQL Language Reference Manual chapter 2 Oracle's character data types are \code{CHAR}, \code{VARCHAR2} (character set specified when the database was created) and \code{NCHAR}, \code{NVARCHAR2} (Unicode), as well as \code{CLOB} and \code{NCLOB} for large character strings. For the non-Unicode types the units of length are either bytes or charactor (set as a default for the database) but can be overriden by adding a \code{BYTE} or \code{CHAR} qualifier. The limits are 4000 bytes apart from for \code{CLOB} and \code{NCLOB}, which have very high limits. There are \code{RAW} and \code{BLOB} data types. \subsection*{DB2} %http://publib.boulder.ibm.com/infocenter/db2luw/v9r7/index.jsp Schema \code{syscat} contains many views with information about tables: for example view \code{syscat.tables} lists all tables, and \begin{example} > sqlQuery(channel, "select * from syscat.columns where tabname='USArrests'") TABSCHEMA TABNAME COLNAME COLNO TYPESCHEMA TYPENAME LENGTH SCALE 1 RIPLEY USArrests State 0 SYSIBM VARCHAR 255 0 2 RIPLEY USArrests Murder 1 SYSIBM DOUBLE 8 0 3 RIPLEY USArrests Assault 2 SYSIBM INTEGER 4 0 4 RIPLEY USArrests UrbanPop 3 SYSIBM INTEGER 4 0 5 RIPLEY USArrests Rape 4 SYSIBM DOUBLE 8 0 ... \end{example} %http://publib.boulder.ibm.com/infocenter/db2luw/v9r7/index.jsp?topic=/com.ibm.db2.luw.sql.ref.doc/doc/r0008483.html The \code{CHAR} type can have size up to 254 bytes: the maximum size of the \code{VARCHAR} type is 32762 bytes. For larger character strings there is the \code{CLOB} type (up to 2Gb). These types can be used to store data in a MBCS, including various Unicode encodings. There are corresponding \code{BINARY}, \code{VARBINARY} and \code{BLOB} data types. \subsection*{Microsoft SQL Server} There are several hundred views in schemas \code{INFORMATION\_SCHEMA} and \code{sys} which will be listed by \code{sqlTables} and also by the stored procedure \code{sp\_tables}. Another way to list tables is \begin{example} SELECT * FROM sysobjects WHERE xtype='U' \end{example} where the condition restricts to user tables. \code{USE \var{database}} changes the database in use. % http://msdn.microsoft.com/en-us/library/ms187752.aspx Types \code{char} and \code{varchar} have a maximum specified size of 8000 bytes. It is possible to use \code{varchar(max)} (previously known as \code{text}) for a limit of 2Gb, but this may not work well with the ODBC interface. The Unicode types \code{nchar} and \code{nvarchar} have a maximum specified size of 4000 characters: again there is \code{nvarchar(max)} (formerly \code{ntext}). There are corresponding \code{binary} and \code{varbinary} data types (with \code{image} as an earlier name for \code{varbinary(max)}). \subsection*{Mimer} There are tens of views in schema \code{INFORMATION\_SCHEMA} which can be read by SQL \code{SELECT} queries of the form \begin{example} SELECT \var{column-list} FROM INFORMATION_SCHEMA.\var{view-name} WHERE \var{condition} \end{example} See the Mimer SQL Reference Manual chapter on Data Dictionary views for full details: two views are \code{TABLES} and \code{VIEWS}. A session can be set to be read-only by the SQL command \code{SET SESSION READ ONLY}. Mimer uses Latin-1 for its default character types but Unicode types (\code{NCHAR} and \code{NVARCHAR}) are also available. Unsurprisingly given that the company is Swedish, different collations are allowed for both Latin-1 and Unicode character types. % reference manual chapter 6 The \code{char} and \code{varchar} columns have a maximum size of 15000 bytes: the \code{clob} data type is available for larger character columns. The \code{nchar} and \code{nvarchar} columns have a maximum size of 5000 characters: the \code{nclob} data type is available for larger Unicode columns. There are corresponding \code{binary}, \code{varbinary} and \code{blob} binary data types. \newpage \appendix \section{Installation} \pkg{RODBC} is simple to install, and binary distributions are available for Windows from CRAN, and sometimes for macOS. To install from the sources, an \emph{ODBC Driver Manager} is required. Windows normally comes with one (it is part of MDAC and can be installed separately if required). macOS from 10.2 to 10.8 shipped with \code{iODBC} (\url{http://www.iodbc.org}, this is also available for other Unix-alikes) but from 10.9 the headers are no longer included in the macOS SDK, but the libraries are still part of the OS. For other systems the driver manager of choice is likely to be \code{unixODBC}, part of almost all Linux distributions and with sources downloadable from \url{http://www.unixODBC.org}. In Linux binary distributions it is likely that package \code{unixODBC-devel} or \code{unixodbc-dev} or some such will be needed. Both \code{unixODBC} and \code{iODBC} can be installed from the sources under macOS: they need ODBC drivers compiled for the driver manager in use. At least for macOS 10.9--15 and 11, all that is required for \code{iODBC} is to unpack the sources and use their headers by something like \begin{example} ODBC_INCLUDE=/path/to/libiodbc-srcs/include R CMD INSTALL RODBC \end{example} \noindent The \code{iODBC} sources used by Apple can be found at \url{https://opensource.apple.com}, so for example one could use \begin{example} curl -OL https://opensource.apple.com/tarballs/iodbc/iodbc-42.6.tar.gz tar xf iodbc-42.6.tar.gz ODBC_INCLUDE=/path/to/iodbc-42.6/iodbc/include R CMD INSTALL RODBC \end{example} In most cases the package's \code{configure} script will find the driver manager files, and the package will install with no extra settings. However, if further information is required, use \code{--with-odbc-include} and \code{--with-odbc-lib} or environment variables \code{ODBC\_INCLUDE} and \code{ODBC\_LIBS} to set the include and library paths as needed. A specific ODBC driver manager can be specified by the \code{--with-odbc-manager} \code{configure} option, with likely values \code{odbc} or \code{iodbc}: if this is done for \code{odbc} and the program \code{odbc\_config} is found, it is used to set the libpath as a last resort (it is often wrong), and to add any additional \code{CFLAGS}. \subsection*{Sources of drivers} Keeping track of ODBC drivers is a never-ending task, and this section is no longer actively maintained. URIs are liable to move or disappear. A list of drivers for \code{unixODBC} is maintained\footnote{that the author works for Easysoft is conspicuous.} at \url{https://www.unixodbc.org/drivers.html}. \code{unixODBC} ships with a number of drivers (although in most cases the DBMS vendor's driver is preferred)---these include for MySQL, PostgreSQL, Mimer and flat files. MySQL provides drivers under the name `Connector/ODBC' (formerly MyODBC') in source form, and binaries for all common 32-bit and most 64-bit R platforms. These are said to work also with MariaDB. PostgreSQL has an associated project at \url{http://pgfoundry.org/projects/psqlodbc/} and another project for at \url{http://pgfoundry.org/projects/odbcng/}. (Documentation for \code{psqlodbc} is currently hard to find, but there is some in the PostgreSQL 7.2 manual at \url{http://www.postgresql.org/docs/7.2/static/odbc.html} from before it was unbundled.) There are drivers for Unix-alikes and Windows -- 64-bit Windows support is available as from PostgreSQL 9.0. An SQLite ODBC driver for Unix-alikes, including macOS, and (32- and 64-bit) Windows is available from \url{http://www.ch-werner.de/sqliteodbc/}. Oracle provides ODBC drivers as a supplement to its `Instant Client' for some of its platforms (including 32/64-bit Windows, macOS and Linux). See \url{https://www.oracle.com/technetwork/database/features/instant-client/index-097480.html} %\url{http://www.oracle.com/technology/software/tech/oci/instantclient/}. One quirk of the Windows drivers is that the Oracle binaries must be in the path, so \code{PATH} should include e.g.{} \verb|c:\Oracle\bin|. For IBM's DB2, search its site for drivers for `ODBC and CLI'. There are some notes about using this under Linux at \url{https://www.unixodbc.org/doc/db2.html}. % http://developer.mimer.se/odbc/ Mimer (\url{www.mimer.com}) is a cross-platform DBMS with integral ODBC support, so \begin{quote} `The Mimer SQL setup process automatically installs an ODBC driver when the Mimer SQL client is installed on any Windows or UNIX platform.' \end{quote} The `HowTos' at \url{http://developer.mimer.se/howto/index.tml} provide some useful hints. Some details of the 32-bit Microsoft `ODBC Desktop Database Drivers' (for Access, Excel, Paradox, dBase and text files on Windows) can be found at \url{https://msdn.microsoft.com/en-us/library/ms709326%28VS.85%29.aspx}. There is also a Visual FoxPro driver and an (outdated) Oracle driver. 32-bit Windows drivers for Access 2007 and Excel 2007 are bundled with Office 2007 but can be installed separately \emph{via} the installer \code{AccessDatabaseEngine.exe} available from %\url{http://www.microsoft.com/downloads/details.aspx?FamilyID=7554f536-8c28-4598-9b72-ef94e038c891&DisplayLang=en}. \url{https://www.microsoft.com/en-us/download/details.aspx?id=23734}. The Access/Excel 2010 versions at %\url{http://www.microsoft.com/downloads/details.aspx?familyid=C06B8369-60DD-4B64-A44B-84B371EDE16D&displaylang=en} \url{https://www.microsoft.com/en-us/download/details.aspx?id=13255} have a 64-bit version: however the 64-bit drivers cannot be installed alongside 32-bit versions of Office (as far as we know, and definitely not for Office 2007). For recent versions of macOS, low-cost and easy-to-use \code{iODBC} drivers are available from \url{https://www.actualtech.com/products.php}: these cover MySQL/PostgreSQL/SQLite (one driver), SQL Server/Sybase, Oracle, and a read-only driver for Access and related formats (including Access 2007 and Excel, but not Excel 2007). That SQLite driver needs \code{believeNRows = FALSE} set. Currently at least, installing those drivers on 10.9 installs \code{iODBC}. macOS drivers for MySQL, PostgreSQL and the major commercial databases are available from \url{http://uda.openlinksw.com/}. \subsection*{Specifying ODBC drivers} The next step is to specify the ODBC drivers to be used for specific DBMSs. On Windows installing the drivers will register them automatically. This might happen as part of the installation on other systems, but usually does not. Both \code{unixODBC} and \code{iODBC} store information on drivers in configuration files, normally system-wide in \code{/etc/odbcinst.ini} and per-user in \verb|~/.odbcinst.ini|. However, the system location can vary, and on systems with \code{unixODBC} can be found by at the Unix command line by one of \begin{example} \$ odbcinst -j \$ odbc\_config --odbcinstini \end{example} For \code{iODBC} use \code{iodbc\_config}: on macOS the system location used by Apple was \code{/Library/ODBC/odbcinst.ini}. \begin{figure} \begin{example} \$ cat /etc/odbcinst.ini [MySQL] Description = ODBC 3.51.26 for MySQL Driver = /usr/lib64/libmyodbc3.so FileUsage = 1 [MySQL ODBC 5.1 Driver] Description = ODBC 5.1.05 for MySQL Driver = /usr/lib64/libmyodbc5.so UsageCount = 1 [PostgreSQL] Description = ODBC for PostgreSQL Driver = /usr/lib64/psqlodbc.so FileUsage = 1 [sqlite3] Description = sqliteodbc Driver = /usr/local/lib64/libsqlite3odbc.so Setup = /usr/local/lib64/libsqlite3odbc.so FileUsage = 1 \end{example} \caption{A system ODBC driver file from a \code{x86\_64} Fedora 10 Linux system using \code{unixODBC}.} \label{fig:odbc1} \end{figure} The format can be seen from figure~\ref{fig:odbc1}. (\code{unixODBC} allows \code{Driver64} here to allow for different paths on 32-bit and 64-bit platforms sharing a file system.) The MySQL and PostgreSQL drivers were installed from the Fedora RPMs \code{mysql-connector-odbc} and \code{postgresql-odbc}, and also from the \code{mysql-connector-odbc} RPM in the MySQL distribution (which inserted the entry in the driver file). The MySQL manual gives detailed information (including screenshots) of installing its drivers and setting up DSNs that may also be informative to users of other DBMSs. \clearpage \section{Specifying DSNs} The ODBC driver managers have `User DSNs' and `System DSNs': these differ only in where the information is stored, the first on a per-user basis and the second for all users of the system. Windows has a GUI\footnote{Extra care is needed on a 64-bit version of Windows, as this GUI shows only 64-bit settings for ODBC, including drivers and DSNs. If you are running 32-bit R (and hence 32-bit ODBC) on 64-bit Windows, you need the 32-bit version of the GUI at something like \texttt{c:\textbackslash{}Windows\textbackslash{}SysWOW64\textbackslash{}odbcad32.exe} -- and beware that both 32- and 64-bit versions are called \texttt{odbcad32.exe}.} to set up DSNs, called something like `Data Sources (ODBC)' under `Administrative Tools' in the Control Panel. You can add, remove and edit (`configure') DSNs there (see figure~2). When adding a DSN, first select the ODBC driver and then complete the driver-specific dialog box. There will usually be an option to test the DSN and it is wise to do so. \begin{figure} \centerline{\includegraphics[width=12cm]{winDSN1}} \bigbreak \centerline{\includegraphics[width=10cm]{winDSN2}} \caption{(Top) The main Data Sources (ODBC) dialog box from a Windows XP system. (Bottom) The dialog box to select a driver that comes up when the \textsf{Add} button is clicked.} \label{fig:1} \end{figure} If \texttt{Rgui} is to be used on Windows, incomplete DSNs can be created and the dialog box will be brought up for completion when \code{odbcConnect} is called---this can be helpful to avoid storing passwords in the Windows Registry or to allow alternate users or databases. On that platform, calling \code{odbcDriverConnect()} with no arguments will bring up the main ODBC Data Sources dialog box to allow a DSN to be constructed on the fly. macOS prior to 10.6 came with a very similar GUI (figure~3) found at \textsf{Applications / Utilities / ODBC Administrator}. This has been available as a download from \url{https://support.apple.com/kb/DL895}. Another GUI for macOS is available from \url{http://www.odbcmanager.net/index.php}. \begin{figure} \centerline{\includegraphics[width=12cm]{macODBC}} \bigbreak \centerline{\includegraphics[width=12cm]{macAccess}} \caption{(Top) The main ODBC Administrator dialog box from a macOS 10.5 system. (Bottom) A page of the dialog box to specify a DSN for the Actual Technologies Access/Excel driver.} \label{fig:1b} \end{figure} % Both \code{unixODBC} and \code{iODBC} provide GUIs (which might be % packaged separately in binary distributions) to create DSNs, and % \code{iODBC} also has a web-grounded DSN administrator. UnixODBC's GUI % is currently called \texttt{ODBCConfig} (see figure~4), and there is a % KDE control widget called \texttt{DataManager} to manage both ODBC % drivers and DSNs. See the \code{unixODBC} user manual at % \url{http://www.unixodbc.org/doc/UserManual/}. (On Fedora these are in % the \code{unixODBC-kde} RPM. It has been announced that they will % become separate projects after \code{unixODBC 2.2.14}.) \begin{figure} \centerline{\includegraphics[width=12cm]{linuxDSN}} \bigbreak \centerline{\includegraphics[width=12cm]{linuxDSNsqlite}} \caption{The dialog box of \code{ODBCconfig} on Fedora 10 Linux, and the \textsf{Configure} screen for the SQLite driver.} \label{fig:2} \end{figure} On Unix-alikes DSNs can also be specified in files (and the graphical tools just manipulate these files). The system-wide file is usually \code{/etc/odbc.ini} and the per-user file\footnote{\texttt{\textasciitilde/Library/ODBC/odbc.ini} on Mac OS X.} \verb|~/.odbc.ini|. Some examples of the format are shown figure~\ref{fig:odbc2}. \begin{figure} \begin{example} [test_mysql] Description = test MySQL Driver = MySQL Trace = No Server = localhost Port = 3306 Database = test [test_mysql5] Description = myodbc5 Driver = MySQL ODBC 5.1 Driver Server = gannet Port = 3306 Database = ripley [test_pg] Description = test PostgreSQL Driver = PostgreSQL Trace = No TraceFile = ServerName = localhost UserName = ripley Port = 5432 Socket = Database = testdb ReadOnly = 0 [test_sqlite3] Description = test SQLite3 Driver = sqlite3 Database = /tmp/mysqlite3.db \end{example} \caption{A personal (\texttt{\textasciitilde/.odbc.ini}) file from a Fedora 10 Linux system using \code{unixODBC}.} \label{fig:odbc2} \end{figure} What fields are supported is driver-specific (and it can be hard to find documentation). There is no clear distinction between fields that specify the driver and those which specify the DSN, so any parts of the driver specification which might differ between connections can be used in the DSN file. Things that are often set here are if the connection is read-only (\code{test\_pg} is \emph{not} readonly) and the character encoding to be used. Command-line programs \code{isql} (\code{unixODBC}) and \code{iodbctest} (\code{iODBC}) can be used to test a DSN that has been created manually in a file. The formats are \begin{example} \$ isql -v \var{dsn} \var{db_username} \var{db_password} \$ iodbctest \end{example} Both give a command-line SQL interface: use \code{quit} to terminate. \begin{figure} \includegraphics[width=6cm]{Access} \quad \includegraphics[width=6cm]{MySQL} \bigbreak \includegraphics[width=6cm]{Oracle} \quad \includegraphics[width=6cm]{SQLserver} \caption{Parts of the ODBC driver configuration screens on Windows XP for Microsoft Access, MySQL Connector/ODBC 5.1, Oracle's ODBC driver and Microsoft SQL Server.} \label{fig:3} \end{figure} \clearpage \section{Internals} The appendix is in part an \emph{aide memoire} for the maintainer, but may interest the curious user. RODBC connection objects are an integer with several attributes: they are numbered consecutively in the current session. For example \begin{smallexample} > channel <- odbcConnect("test") > unclass(channel) [1] 1 attr(,"connection.string") [1] "DATABASE=ripley;DESCRIPTION=myodbc;DSN=test;OPTION=0;PORT=3306;SERVER=localhost;" attr(,"handle\_ptr") attr(,"case") [1] "nochange" attr(,"id") [1] 11371 attr(,"believeNRows") [1] TRUE attr(,"colQuote") [1] "`" attr(,"tabQuote") [1] "`" attr(,"encoding") [1] "" attr(,"rows\_at\_time") [1] 100 attr(,"isMySQL") [1] FALSE \end{smallexample} Most of the attributes record the arguments of \code{odbcDriverConnect}. The \code{"connection.string"} attribute is as returned by \code{SQLDriverConnect} and list driver-specific parameters separated (and perhaps terminated) by a semicolon. The \code{"id"} attribute is a random integer used for integrity checks (and in particular to reject connection objects should they be saved and restored in a different session). The \code{"isMySQL"} attribute is used both to select the default quote character and the interpretation of \code{qualifier.table} names. The main structure of the connection is kept as a C \code{struct}, a pointer to which is passed around as the R external pointer \code{"handle\_ptr"}. This has a finalizer that will close the connection when there is no longer an R object referring to it (including at the end of the R session), with a warning unless the connection has already been closed by \code{close} or \code{odbcClose}. In addition, a C-level table keeps the pointers of the first 1000 connections of an R session, to enable \code{odbcCloseAll} to close them. The \code{struct} is currently defined as \begin{smallexample} typedef struct rodbcHandle \{ SQLHDBC hDbc; /* connection handle */ SQLHSTMT hStmt; /* statement handle */ SQLLEN nRows; /* number of rows and columns in result set */ SQLSMALLINT nColumns; int channel; /* as stored on the R-level object */ int id; /* ditto */ int useNRows; /* value of believeNRows */ /* entries used to bind data for result sets and updates */ COLUMNS *ColData; int nAllocated; SQLUINTEGER rowsFetched; /* use to indicate the number of rows fetched */ SQLUINTEGER rowArraySize; /* use to indicate the number of rows we expect back */ SQLUINTEGER rowsUsed; /* for when we fetch more than we need */ SQLMSG *msglist; /* root of linked list of messages */ SEXP extPtr; /* the external pointer address */ \} RODBCHandle, *pRODBCHandle; \end{smallexample} Most ODBC operations work by sending a query, explicitly or implicitly via e.g.{} \code{sqlColumns}, and this creates a \emph{result set} which is transferred to an R data frame by \code{sqlGetResults}. \code{nRows} and \code{nCols} indicate the size of the pending result set, with \code{nCols = -1} used if there are no pending results. ODBC works with various \emph{handles}. There is a \code{SQLHENV} handle for the environment that \code{RODBC} opens when a connection is first opened or DSNs are listed---its main use is to request ODBC~3 semantics. Then each connection has a \code{SQLHDBC} handle, and each query (statement) a \code{SQLHSTMT} handle. Argument \code{literal=TRUE} of \code{sqlTables} and \code{sqlColumns} is used to set the \verb}SQL_ATTR_METADATA_ID} attribute of the statement handle to be true. All the functions\footnote{ \code{odbcQuery}, \code{sqlColumns}, \code{sqlPrimaryKeys}, \code{sqlTables} and \code{sqlTypeInfo}.} that create a result set call C function \code{cachenbind}. This allocates buffers under the \code{colData} pointer and binds the result set to them by \code{SQLBindCol}. Then when \code{sqlGetResults} calls the C function \code{SQLFetch} or \code{SQLFetchScroll} the results for one or more (up to \code{MAX\_ROWS\_FETCH = 1024}) rows are loaded into the buffers and then copied into R vectors. Prior to \pkg{RODBC} 1.3-0 the default was to fetch a row at a time, but it is now to fetch up to 100 rows at a time. Entries \code{rowsArraySize} and \code{rowsFetched} are used to indicate how many rows were requested and how many were available. Since e.g.{} \code{sqlFetch} allows a maximum number of rows to be returned in the data frame, \code{rowsUsed} indicates how many of the rows last fetched have so far been returned to R. The buffers are part of the \code{ColData} entry, which is an array of \code{COLUMNS} structures, one of each column in the result set. These have the form \begin{smallexample} typedef struct cols \{ SQLCHAR ColName[256]; SQLSMALLINT NameLength; SQLSMALLINT DataType; SQLULEN ColSize; SQLSMALLINT DecimalDigits; SQLSMALLINT Nullable; char *pData; int datalen; SQLDOUBLE RData [MAX\_ROWS\_FETCH]; SQLREAL R4Data[MAX\_ROWS\_FETCH]; SQLINTEGER IData [MAX\_ROWS\_FETCH]; SQLSMALLINT I2Data[MAX\_ROWS\_FETCH]; SQLLEN IndPtr[MAX\_ROWS\_FETCH]; \} COLUMNS; \end{smallexample} The first six entries are returned by a call to \code{SQLDescribeCol}: \code{DataType} is used to select the buffer to use. There are separate buffers for double-precision, single-precision, 32-bit and 16-bit integer and character/byte data. When character/data buffers are allocated, \code{datalen} records the length allocated per row (which is based on the value returned as \code{ColSize}). The \code{IndPtr} value is used to record the actual size of the item in the current row for variable length character and binary types, and for all nullable types the special value \code{SQL\_NULL\_DATA} (-1) indicates an SQL null value. The other main C-level operation is to send data to the ODBC driver for \code{sqlSave} and \code{sqlUpdate}. These use \code{INSERT INTO} and \code{UPDATE} queries respectively, and for \code{fast = TRUE} use parametrized queries. So we have the queries (split across lines for display) \begin{smallexample} > sqlSave(channel, USArrests, rownames = "State", addPK = TRUE, verbose = TRUE) Query: CREATE TABLE "USArrests" ("State" varchar(255) NOT NULL PRIMARY KEY, "Murder" double, "Assault" integer, "UrbanPop" integer, "Rape" double) Query: INSERT INTO "USArrests" ( "State", "Murder", "Assault", "UrbanPop", "Rape" ) VALUES ( ?,?,?,?,? ) Binding: 'State' DataType 12, ColSize 255 Binding: 'Murder' DataType 8, ColSize 15 Binding: 'Assault' DataType 4, ColSize 10 Binding: 'UrbanPop' DataType 4, ColSize 10 Binding: 'Rape' DataType 8, ColSize 15 Parameters: ... > sqlUpdate(channel, foo, "USArrests", verbose=TRUE) Query: UPDATE "USArrests" SET "Assault"=? WHERE "State"=? Binding: 'Assault' DataType 4, ColSize 10 Binding: 'State' DataType 12, ColSize 255 Parameters: ... \end{smallexample} At C level, this works by calling \code{SQLPrepare} to record the insert/update query on the statement handle, then calling \code{SQLBindParameter} to bind a buffer for each column with values to be sent, and finally in a loop over rows copying the data into the buffer and calling \code{SQLExecute} on the statement handle. The same buffer structure is used as when retrieving result sets. The difference is that the arguments which were ouptuts from \code{SQLBindCol} and inputs to \code{SQLBindParameter}, so we need to use \code{sqlColumns} to retrieve the column characteristics of the table and pass these down to the C interface. \end{document} RODBC/vignettes/macODBC.png0000644000176000001440000014443611754561777015101 0ustar ripleyusers‰PNG  IHDR–Í+1¬ô?iCCPICC Profilex­Xy8”Ýû?3óÌ0ccÍdÉ`²”={vB¶±ËX[–”5¤’²Sˆ²TB½I’´!B!²•¤E–Èö{Fõ¾×ïû½Þë÷Ïï\×ó<ŸsŸÏ}ßç9÷sûÜì"”  *àB³Ô×±³waxЀࢸi™››À”iKýAê•¡ÛúÒ¿‰Yi°C$˜Àåý kÒ±Û/lMÇá!A!0LJŽÝ}(0Ž†1‰fm©ãr³zÿÂõtìö ·Òq˜»7]÷5Žßfa¬îáìÓýzx»ûÃ8¤¶¿ lŸí,—t¢Áºlk0&Ò×~ÂÍ“•BØNÆ?2ÿÓÔÀ¶ˆŸÿ‘åà¶àJÙ?²yË­µBð¼öÚ-¿eÁ¢ zdss^œn€õs››«%››ë—@ ÐLu¥…mqáAtðõ½óo z€'èAX &‘ù(ÈMÁÄ3Ôc!&æ×8'ÖE¶LC.,w׶b¾H‚ ¶°¤(ûö â´x¯dýÎ|R¸¬™kWÿîdE¥Ne;•>5ƒ½5êœ4ÍÚ$TÝ=#ýRƒu#sã“o¦êfÉæ=–VTë6[¹ƒ—챇ž:ñ:{¹T».»i¸'x´z±zÛù\; ù9R¯úOò8Ok ^%…¹‡çŒJ:Ť߈u‹«ŒŸH$$Yž<•Ü˜2”:yª/íÎé gŽŸL>“u>è‚[¦m–Y¶iŽE®]%ß¿ ²0ñbÚ¥3E§ŠãJh—KuËd¯®âÊ‘å?+æ+¿UÍ_[½®ÆÝÄ×0Õ‚Úïuã·^ܾûWÑ”úà». 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«`C9.?GVª<\?°ˆ¶6Ë-­:Tœgp[­ÏÀâ)­;λR4ª²}X\ø–0xGU**º¥lw2¸R4­ª ðJG, °û/¤jWœg|*¢Z9ž`_Ú¬¨aa5Èy×ó›ÌŸr8ŽG ”ßNd sÁeq8ŽG z Ày·zÔ3/%G€#Ààœwƒ£x.8ŽG z Ày·zÔ3/%G€#Ààœwƒ£x.8ŽG z Ày·zÔ3/%G€#Ààœwƒ£x.8ŽG z Ày·zÔ3/%G€#Ààœwƒ£x.8ŽG z Ày·zÔ3/%G€#Ààœwƒ£x.8ŽG z Ày·zÔ3/%G€#Ààœwƒ£x.8ŽG z Ày·zÔ3/%G€#Ààœwƒ£x.8ŽG z Ày·zÔ3/%G€#ÀàÿUXB飱RIEND®B`‚RODBC/configure.win0000644000176000001440000000004111754561777013652 0ustar ripleyuserscp src/config.h.win src/config.h RODBC/R/0000755000176000001440000000000013656245106011344 5ustar ripleyusersRODBC/R/TypeInfo.R0000644000176000001440000000753012211376653013227 0ustar ripleyusers# file RODBC/R/TypeInfo.R # copyright (C) 2004-2011 B. D. Ripley # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 or 3 of the License # (at your option). # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # A copy of the GNU General Public License is available at # http://www.r-project.org/Licenses/ # sqlTypeInfo <- function(channel, type = "all", errors = TRUE, as.is = TRUE) { if(!odbcValidChannel(channel)) stop("first argument is not an open RODBC channel") type <- match(type, c("all", "char", "varchar", "real", "double", "integer", "smallint", "timestamp", "float", "bit", "wchar", "wvarchar", "date", "time", "binary", "varbinary", "longvarbinary", "blob"), nomatch = 1L) - 1L stat <- .Call(C_RODBCTypeInfo, attr(channel, "handle_ptr"), as.integer(type), PACKAGE = "RODBC") if(!stat) { if(errors) return(odbcGetErrMsg(channel)) else return(invisible(-1L)) } else { ## Several MySQL drivers failed to set the number of rows ## correctly here, including 3.51.26 and 5.1.5 return(sqlGetResults(channel, as.is = as.is, errors = errors, believeNRows = FALSE)) } } typesR2DBMS <- list2env(list( MySQL = list(double="double", integer="integer", character="varchar(255)", logical="varchar(5)"), ACCESS = list(double="DOUBLE", integer="INTEGER", character="VARCHAR(255)", logical="varchar(5)"), ## float is double, real is single "Microsoft SQL Server" = list(double="float", integer="int", character="varchar(255)", logical="varchar(5)"), PostgreSQL = list(double="float8", integer="int4", character="varchar(255)", logical="varchar(5)"), ## was double="double precision", integer="integer" Oracle = list(double="binary_double", integer="decimal", character="varchar(255)", logical="varchar(5)"), SQLite = list(double="double", integer="integer", character="varchar(255)", logical="varchar(5)"), EXCEL = list(double="NUMBER", integer="NUMBER", character="VARCHAR(255)", logical="LOGICAL"), DBASE = list(double="Numeric", integer="Numeric", character="Char(254)", logical="Logical"), "DB2/NT" = list(double="DOUBLE", integer="INTEGER", character="VARCHAR(255)", logical="VARCHAR(5)"), "Mimer SQL Engine" = list(double="DOUBLE PRECISION", integer="INTEGER", character="VARCHAR(255)", logical="VARCHAR(5)") )) getSqlTypeInfo <- function(driver) { if(missing(driver)) { res <- t(data.frame(lapply(typesR2DBMS, as.character), check.names=FALSE)) colnames(res) <- c("double", "integer", "character", "logical") as.data.frame(res) } else typesR2DBMS[[driver]] } setSqlTypeInfo <- function(driver, value) { if(!is.character(driver) || length(driver) != 1L) stop("argument 'driver' must be a character string") if(!is.list(value) || length(value) < 4L || is.null(names(value)) ) stop("argument 'value' must be a named list of length >= 4") typesR2DBMS[[driver]] <<- value[c("double", "integer", "character", "logical")] } RODBC/R/RODBC.R0000644000176000001440000002461212655570600012323 0ustar ripleyusers# file RODBC/R/RODBC.R # copyright (C) 1999-2002 M. Lapsley # copyright (C) 2002-2016 B. D. Ripley # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 or 3 of the License # (at your option). # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # A copy of the GNU General Public License is available at # http://www.r-project.org/Licenses/ # # Low level wrappers for odbc driver # # # .onLoad <- function(libname, pkgname) { if(is.null(getOption("dec"))) options(dec = Sys.localeconv()["decimal_point"]) } .onUnload <- function(libpath) { odbcCloseAll() .Call(C_RODBCTerm) library.dynam.unload("RODBC", libpath) } odbcGetErrMsg <- function(channel) { if(!odbcValidChannel(channel)) stop("first argument is not an open RODBC channel") err <- .Call(C_RODBCGetErrMsg, attr(channel, "handle_ptr")) .Call(C_RODBCClearError, attr(channel, "handle_ptr")) return(err) } odbcClearError <- function(channel) { if(!odbcValidChannel(channel)) stop("first argument is not an open RODBC channel") .Call(C_RODBCClearError, attr(channel, "handle_ptr")) invisible() } odbcReConnect <- function(channel, ...) { if(!inherits(channel, "RODBC")) stop("Argument 'channel' must inherit from class RODBC") Call <- attr(channel, "call") dots <- list(...) if("uid" %in% names(dots)) { uid <- dots$uid; dots$uid <- NULL Call$Connection <- sub("UID=[^;]+($|;)", paste("UID=", uid, ";", sep=""), Call$connection) } if("pwd" %in% names(dots)) { pwd <- dots$pwd; dots$pwd <- NULL Call$connection <- sub("PWD=[^;]+($|;)", paste("PWD=", pwd, ";", sep=""), Call$connection) } if(length(dots)) Call[names(dots)] <- dots eval.parent(Call) } odbcConnect <- function (dsn, uid = "", pwd = "", ...) { Call <- match.call(); Call$uid <- Call$pwd <- NULL Call[[1]] <- quote(RODBC::odbcDriverConnect) st <- paste("DSN=", dsn, sep="") if(nchar(uid)) st <- paste(st, ";UID=", uid, sep="") if(nchar(pwd)) st <- paste(st, ";PWD=", pwd, sep="") Call[[2]] <- st; names(Call)[2] <- "" eval.parent(Call) } odbcDriverConnect <- function (connection = "", case = "nochange", believeNRows = TRUE, colQuote, tabQuote = colQuote, interpretDot = TRUE, DBMSencoding = "", rows_at_time = 100, readOnlyOptimize = FALSE) { id <- as.integer(1 + runif(1, 0, 1e5)) stat <- .Call(C_RODBCDriverConnect, as.character(connection), id, as.integer(believeNRows), as.logical(readOnlyOptimize)) if(stat < 0L) { warning("ODBC connection failed") return(stat) } Call <- match.call() res <- .Call(C_RODBCGetInfo, attr(stat, "handle_ptr")) isMySQL <- res[1L] == "MySQL" if(missing(colQuote)) colQuote <- ifelse(isMySQL, "`", '"') if(missing(case)) case <- switch(res[1L], "MySQL" = "mysql", "PostgreSQL" = "postgresql", "nochange") switch(case, toupper = case <- 1L, tolower = case <- 2L, postgresql = case <- 2L, nochange = case <- 0L, msaccess = case <- 0L, mysql = case <- ifelse(.Platform$OS.type == "windows", 2L, 0L), stop("Invalid case parameter: nochange | toupper | tolower | common db names") ) case <- switch(case+1L, "nochange", "toupper", "tolower") rows_at_time <- max(1, min(1024, rows_at_time)) cs <- attr(stat, "connection.string") if(grepl("PWD=", cs)) { attr(stat, "connection.string") <- sub("PWD=[^;]+($|;)", "PWD=******;", cs) Call$connection <- sub("PWD=[^;]+($|;)", "PWD=******;", connection) } structure(stat, class = "RODBC", case = case, id = id, believeNRows = believeNRows, colQuote = colQuote, tabQuote = tabQuote, interpretDot = interpretDot, encoding = DBMSencoding, rows_at_time = rows_at_time, isMySQL = isMySQL, call = Call) } odbcQuery <- function(channel, query, rows_at_time = attr(channel, "rows_at_time")) { if(!odbcValidChannel(channel)) stop("first argument is not an open RODBC channel") if(nchar(enc <- attr(channel, "encoding"))) query <- iconv(query, to=enc) .Call(C_RODBCQuery, attr(channel, "handle_ptr"), as.character(query), as.integer(rows_at_time)) } odbcUpdate <- function(channel, query, data, params, test = FALSE, verbose = FALSE, nastring = NULL) { if(!odbcValidChannel(channel)) stop("first argument is not an open RODBC channel") ## sanity checks! if(length(params) == 0L || nrow(params) == 0L) stop("no parameters, so nothing to update") if(nchar(enc <- attr(channel, "encoding"))) query <- iconv(query, to=enc) vflag <- 0 if(verbose) vflag <- 1 if(test) vflag <- 2 ## apply the name mangling that was applied when the table was created cnames <- mangleColNames(names(data)) cnames <- switch(attr(channel, "case"), nochange = cnames, toupper = toupper(cnames), tolower = tolower(cnames)) for(i in seq_along(data)) if(!is.numeric(data[[i]])) { data[[i]] <- as.character(data[[i]]) if(nchar(enc)) data[[i]] <- iconv(data[[i]], to = enc) } ## now map names: ds[i] is the data col to go with param i. ds <- match(params[[1]], cnames) if(any(is.na(ds))) stop("missing columns in 'data'") ## but pass 0-indexed version of ds .Call(C_RODBCUpdate, attr(channel, "handle_ptr"), as.character(query), data, ds-1L, params, as.integer(vflag)) } ## catalog, schema, tableName are 'pattern-value's ## IBM says % is special, and asks for all schemas or tableTypes to be listed. ## MSDN says there are values SQL_ALL_CATALOGS, SQL_ALL_SCHEMAS, ## SQL_ALL_TABLE_TYPES, but the headers define these as "%". ## tableType is a character vector containing one of more of ## "TABLE" "VIEW" "SYSTEM TABLE" "ALIAS" "SYNONYM" (may be single-quoted). ## http://publib.boulder.ibm.com/infocenter/dzichelp/v2r2/index.jsp?topic=/com.ibm.db29.doc.odbc/db2z_fntables.htm odbcTables <- function(channel, catalog = NULL, schema = NULL, tableName = NULL, tableType = NULL, literal = FALSE) { if(!odbcValidChannel(channel)) stop("first argument is not an open RODBC channel") tableType <- if(is.character(tableType) && length(tableType)) paste(tableType, collapse=",") else NULL .Call(C_RODBCTables, attr(channel, "handle_ptr"), catalog, schema, tableName, tableType, as.logical(literal)) } odbcColumns <- function(channel, table, catalog = NULL, schema = NULL, literal = FALSE) { if(!odbcValidChannel(channel)) stop("first argument is not an open RODBC channel") .Call(C_RODBCColumns, attr(channel, "handle_ptr"), as.character(table), catalog, schema, as.logical(literal)) } odbcSpecialColumns <- function(channel, table, catalog = NULL, schema = NULL) { if(!odbcValidChannel(channel)) stop("first argument is not an open RODBC channel") .Call(C_RODBCSpecialColumns, attr(channel, "handle_ptr"), as.character(table), catalog, schema) } odbcPrimaryKeys <- function(channel, table, catalog = NULL, schema = NULL) { if(!odbcValidChannel(channel)) stop("first argument is not an open RODBC channel") .Call(C_RODBCPrimaryKeys, attr(channel, "handle_ptr"), as.character(table), catalog, schema) } close.RODBC <- function(con, ...) invisible(ifelse(odbcClose(con), 0L, 1L)) odbcClose <- function(channel) { if(!odbcValidChannel(channel)) stop("argument is not an open RODBC channel") res <- .Call(C_RODBCClose, attr(channel, "handle_ptr")) if(res > 0) invisible(FALSE) else { warning(paste(odbcGetErrMsg(channel), sep="\n")) FALSE } invisible(TRUE) } odbcCloseAll <- function() { .Call(C_RODBCCloseAll) invisible() } odbcFetchRows <- function(channel, max = 0, buffsize = 1000, nullstring = NA_character_, believeNRows = TRUE) { if(!odbcValidChannel(channel)) stop("first argument is not an open RODBC channel") .Call(C_RODBCFetchRows, attr(channel, "handle_ptr"), max, buffsize, as.character(nullstring), believeNRows) } odbcCaseFlag <- function (channel) { if(!odbcValidChannel(channel)) stop("first argument is not an open RODBC channel") attr(channel, "case") } odbcGetInfo <- function(channel) { if(!odbcValidChannel(channel)) stop("argument is not an open RODBC channel") res <- .Call(C_RODBCGetInfo, attr(channel, "handle_ptr")) names(res) <- c("DBMS_Name", "DBMS_Ver", "Driver_ODBC_Ver", "Data_Source_Name", "Driver_Name", "Driver_Ver", "ODBC_Ver", "Server_Name") res } odbcValidChannel <- function(channel) { inherits(channel, "RODBC") && is.integer(channel) && .Call(C_RODBCcheckchannel, channel, attr(channel, "id")) > 0 } odbcClearResults <- function(channel) { if(!odbcValidChannel(channel)) stop("first argument is not an open RODBC channel") .Call(C_RODBCclearresults, attr(channel, "handle_ptr")) invisible() } print.RODBC <- function(x, ...) { con <- strsplit(attr(x, "connection.string"), ";", fixed = TRUE)[[1L]] case <- paste("case=", attr(x, "case"), sep="") cat("RODBC Connection ", as.vector(x), "\nDetails:\n ", sep = "") cat(case, con, sep="\n ") invisible(x) } odbcSetAutoCommit <- function(channel, autoCommit = TRUE) { if(!odbcValidChannel(channel)) stop("first argument is not an open RODBC channel") .Call(C_RODBCSetAutoCommit, attr(channel, "handle_ptr"), autoCommit) } odbcEndTran <- function(channel, commit = TRUE) { if(!odbcValidChannel(channel)) stop("first argument is not an open RODBC channel") .Call(C_RODBCEndTran, attr(channel, "handle_ptr"), commit) } odbcDataSources <- function(type = c("all", "user", "system")) { type <- match.arg(type) type <- match(type, c("all", "user", "system")) .Call(C_RODBCListDataSources, type) } RODBC/R/win.R0000644000176000001440000000725511754561777012311 0ustar ripleyusers# file RODBC/R/win.R # copyright (C) 2002-2009 B. D. Ripley # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 or 3 of the License # (at your option). # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # A copy of the GNU General Public License is available at # http://www.r-project.org/Licenses/ # if(.Platform$OS.type == "windows") { ## FIXME: use grepl for is.abs in due course (R >= 2.9.0) full.path <- function(filename) { fn <- gsub("\\", "/", filename, fixed = TRUE) is.abs <- length(grep("^[ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz]:|/", fn)) > 0L gsub("/", "\\", if(!is.abs) file.path(getwd(), filename) else filename, fixed = TRUE) } ## originally based on suggestions from xiao.gang.fan1@libertysurf.fr odbcConnectExcel <- function(xls.file, readOnly = TRUE, ...) { if (.Machine$sizeof.pointer > 4) stop("odbcConnectExcel is only usable with 32-bit Windows") con <- if(missing(xls.file)) "Driver={Microsoft Excel Driver (*.xls)};DriverId=790;Dbq=" else { fp <- full.path(xls.file) paste("Driver={Microsoft Excel Driver (*.xls)};DriverId=790;Dbq=", fp, ";DefaultDir=", dirname(fp), ";", sep = "") } if(!readOnly) con = paste(con, "ReadOnly=False", sep=";") odbcDriverConnect(con, tabQuote=c("[", "]"), ...) } odbcConnectExcel2007 <- function(xls.file, readOnly = TRUE, ...) { con <- if(missing(xls.file)) "Driver={Microsoft Excel Driver (*.xls, *.xlsx, *.xlsm, *.xlsb)};Dbq=" else { fp <- full.path(xls.file) paste("Driver={Microsoft Excel Driver (*.xls, *.xlsx, *.xlsm, *.xlsb)};Dbq=", fp, ";DefaultDir=", dirname(fp), ";", sep = "") } if(!readOnly) con = paste(con, "ReadOnly=False", sep=";") odbcDriverConnect(con, tabQuote=c("[", "]"), ...) } odbcConnectAccess <- function(access.file, uid = "", pwd = "", ...) { if (.Machine$sizeof.pointer > 4) stop("odbcConnectAccess is only usable with 32-bit Windows") con <- if(missing(access.file)) "Driver={Microsoft Access Driver (*.mdb)};Dbq=" else paste("Driver={Microsoft Access Driver (*.mdb)};Dbq=", full.path(access.file), ";Uid=", uid, ";Pwd=", pwd, ";", sep="") odbcDriverConnect(con, ...) } odbcConnectAccess2007 <- function(access.file, uid = "", pwd = "", ...) { con <- if(missing(access.file)) "Driver={Microsoft Access Driver (*.mdb, *.accdb)};Dbq=" else paste("Driver={Microsoft Access Driver (*.mdb, *.accdb)};Dbq=", full.path(access.file), ";Uid=", uid, ";Pwd=", pwd, ";", sep="") odbcDriverConnect(con, ...) } odbcConnectDbase <- function(dbf.file, ...) { if (.Machine$sizeof.pointer > 4) warning("odbcConnectDbase is probably only usable with 32-bit Windows") con <- if(missing(dbf.file)) "Driver={Microsoft dBASE Driver (*.dbf)};DriverID=277;Dbq=" else paste("Driver={Microsoft dBASE Driver (*.dbf)};DriverID=277;Dbq=", dirname(full.path(dbf.file)), ";", sep="") odbcDriverConnect(con, tabQuote=c("[", "]"), ...) } } RODBC/R/sql.R0000644000176000001440000010272713656245106012277 0ustar ripleyusers# file RODBC/R/sql.R # copyright (C) 1999-2002 M. Lapsley # copyright (C) 2002-2020 B. D. Ripley # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 or 3 of the License # (at your option). # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # A copy of the GNU General Public License is available at # http://www.r-project.org/Licenses/ # # high level functions for sql database access # ########################################### sqlClear <- function(channel, sqtable, errors = TRUE) { if(!odbcValidChannel(channel)) stop("first argument is not an open RODBC channel") if(missing(sqtable)) stop("missing argument 'sqtable'") dbname <- odbcTableExists(channel, sqtable, abort = errors) if(!length(dbname)) { if(errors) stop("table ", sQuote(sqtable), " not found"); return(invisible(-1L)); } res <- sqlQuery(channel, paste ("TRUNCATE TABLE", dbname), errors = errors) ## res <- sqlQuery(channel, paste ("DELETE FROM", dbname), errors = errors) if(errors && (!length(res) || identical(res, "No Data") )) invisible() else invisible(res) } sqlDrop <- function(channel, sqtable, errors = TRUE) { if(!odbcValidChannel(channel)) stop("first argument is not an open RODBC channel") if(missing(sqtable)) stop("missing argument 'sqtable'") dbname <- odbcTableExists(channel, sqtable, abort = errors) if(!length(dbname)) { if(errors) stop("table ", sQuote(sqtable), " not found"); return(invisible(-1L)); } res <- sqlQuery(channel, paste ("DROP TABLE", dbname), errors = errors) ## Windows and SQLite were returning character(0) if(errors && (!length(res) || identical(res, "No Data") )) invisible() else invisible(res) } sqlFetch <- function (channel, sqtable, ..., colnames = FALSE, rownames = TRUE) { if(!odbcValidChannel(channel)) stop("first argument is not an open RODBC channel") if(missing(sqtable)) stop("missing argument 'sqtable'") dbname <- odbcTableExists(channel, sqtable) ans <- sqlQuery(channel, paste("SELECT * FROM", dbname), ...) if(is.data.frame(ans)) { if(is.logical(colnames) && colnames) { colnames(ans) <- as.character(as.matrix(ans[1L, ])) ans <- ans[-1L, ] } ## FIXME case-mangling? if(is.logical(rownames) && rownames) rownames <- "rownames" if(is.character(rownames)) { cn <- names(ans) if (!is.na(rn <- match(rownames, cn))) { row.names(ans) <- as.character(ans[, rn]) ans <- ans[, -rn, drop = FALSE] } } } ans } sqlFetchMore <- function (channel, ..., colnames = FALSE, rownames = TRUE) { if(!odbcValidChannel(channel)) stop("first argument is not an open RODBC channel") ans <- sqlGetResults(channel, ...) if(is.data.frame(ans)) { if(is.logical(colnames) && colnames) { colnames(ans) <- as.character(as.matrix(ans[1L, ])) ans <- ans[-1L, ] } ## FIXME case-mangling? if(is.logical(rownames) && rownames) rownames <- "rownames" if(is.character(rownames)) { cn <- names(ans) if (!is.na(rn <- match(rownames, cn))) { row.names(ans) <- as.character(ans[, rn]) ans <- ans[, -rn, drop = FALSE] } } } ans } sqlCopy <- function(channel, query, destination, destchannel = channel, verbose = FALSE, errors = TRUE, ...) { if(!odbcValidChannel(channel)) stop("first argument is not an open RODBC channel") if(!odbcValidChannel(destchannel)) stop("destination argument is not an open RODBC channel") if( missing(query) || missing(destination)) stop("missing parameter") if(length(destination) != 1L) stop("destination should be a name") dataset <- sqlQuery(channel, query, errors = errors) sqlSave(destchannel, dataset, destination, verbose=verbose, ...) } sqlCopyTable <- function (channel, srctable, desttable, destchannel = channel, verbose = FALSE, errors = TRUE) { if(!odbcValidChannel(channel)) stop("first argument is not an open RODBC channel") if(!odbcValidChannel(destchannel)) stop("destination argument is not an open RODBC channel") if(missing(srctable) || missing(desttable)) stop("missing parameter") dtablename <- as.character(desttable) if(length(dtablename) != 1L) stop(sQuote(dtablename), " should be a name") stablename <- as.character(srctable) if(!length(odbcTableExists(channel, stablename, abort = errors))) return(invisible(-1L)); query <- sqltablecreate(channel, dtablename, coldata = sqlColumns(channel, stablename), keys = sqlPrimaryKeys(channel, stablename)) if(verbose) cat("Query: ", query, "\n", sep = "") sqlQuery(destchannel, query, errors=errors) } ###################################################### # sqlSave # save into table if exists # if table not compatible delete it # create new table. sqlSave <- function(channel, dat, tablename = NULL, append = FALSE, rownames = TRUE, colnames = FALSE, verbose = FALSE, safer = TRUE, addPK = FALSE, typeInfo, varTypes, fast = TRUE, test = FALSE, nastring = NULL) { if(!odbcValidChannel(channel)) stop("first argument is not an open RODBC channel") if(missing(dat)) stop("missing parameter") if(!is.data.frame(dat)) stop("should be a data frame") if(is.null(tablename)) tablename <- if(length(substitute(dat)) == 1) as.character(substitute(dat)) else as.character(substitute(dat)[[2L]]) if(length(tablename) != 1L) stop(sQuote(tablename), " should be a name") switch(attr(channel, "case"), nochange = {}, toupper={tablename <- toupper(tablename) colnames(dat) <- toupper(colnames(dat))}, tolower={tablename <- tolower(tablename) colnames(dat) <- tolower(colnames(dat))} ) keys <- -1 ## move row labels into data frame ## FIXME case-mangling? if(is.logical(rownames) && rownames) rownames <- "rownames" if(is.character(rownames)) { dat <- cbind(row.names(dat), dat) names(dat)[1L] <- rownames if(addPK) { keys <- vector("list", 4L) keys[[4L]] <- rownames } } ## ? move col names into dataframe (needed to preserve case) if(is.logical(colnames) && colnames) { ## this is to deal with type conversions as.data.frame(rbind(colnames(dat), as.matrix(dat)))->dat } ## find out if table already exists dbname <- odbcTableExists(channel, tablename, abort = FALSE) if(length(dbname)) { if(!append) { if(safer) stop("table ", sQuote(tablename), " already exists") ## zero table, return if no perms query <- paste ("DELETE FROM", dbname) if(verbose) cat("Query: ", query, "\n", sep = "") res <- sqlQuery(channel, query, errors = FALSE) if(is.numeric(res) && res == -1L) # No Data is fine stop(paste(odbcGetErrMsg(channel), collapse="\n")) } if(sqlwrite(channel, tablename, dat, verbose=verbose, fast=fast, test=test, nastring=nastring) == -1) { ##cannot write: try dropping table query <- paste("DROP TABLE", dbname) if(verbose) { cat("sqlwrite returned ", odbcGetErrMsg(channel), "\n", sep = "\n") cat("Query: ", query, "\n", sep = "") } if(safer) stop("unable to append to table ", sQuote(tablename)) res <- sqlQuery(channel, query, errors = FALSE) if(is.numeric(res) && res == -1L) # No Data is fine stop(paste(odbcGetErrMsg(channel), collapse="\n")) } else { #success return (invisible(1L)) } } # we get here if: # - no table # - table with invalid columns # No permissions for existing table should have aborted above types <- sapply(dat, typeof) facs <- sapply(dat, is.factor) isreal <- (types == "double") isint <- (types == "integer") & !facs islogi <- (types == "logical") colspecs <- rep("varchar(255)", length(dat)) if(!missing(typeInfo) || !is.null(typeInfo <- typesR2DBMS[[odbcGetInfo(channel)[1L]]])) { colspecs <- rep(typeInfo$character[1L], length(dat)) colspecs[isreal] <- typeInfo$double[1L] colspecs[isint] <- typeInfo$integer[1L] colspecs[islogi] <- typeInfo$logical[1L] } else { typeinfo <- sqlTypeInfo(channel, "all", errors = FALSE) if(is.data.frame(typeinfo)) { ## Now change types as appropriate. if(any(isreal)) { realinfo <- sqlTypeInfo(channel, "double")[, 1L] if(length(realinfo) > 0L) { if(length(realinfo) > 1L) { # more than one match nm <- match("double", tolower(realinfo)) if(!is.na(nm)) realinfo <- realinfo[nm] } colspecs[isreal] <- realinfo[1L] } else { realinfo <- sqlTypeInfo(channel, "float")[, 1L] if(length(realinfo) > 0L) { if(length(realinfo) > 1L) { # more than one match nm <- match("float", tolower(realinfo)) if(!is.na(nm)) realinfo <- realinfo[nm] } colspecs[isreal] <- realinfo[1L] } } } if(any(isint)) { intinfo <- sqlTypeInfo(channel, "integer")[, 1L] if(length(intinfo) > 0L) { if(length(intinfo) > 1) { # more than one match nm <- match("integer", tolower(intinfo)) if(!is.na(nm)) intinfo <- intinfo[nm] } colspecs[isint] <- intinfo[1L] } } } } names(colspecs) <- names(dat) if(!missing(varTypes)) { if(!length(nm <- names(varTypes))) warning("argument 'varTypes' has no names and will be ignored") OK <- names(colspecs) %in% nm colspecs[OK] <- varTypes[names(colspecs)[OK]] notOK <- !(nm %in% names(colspecs)) if(any(notOK)) warning("column(s) ", paste(nm[notOK], collapse=", "), " 'dat' are not in the names of 'varTypes'") } ## CREATE TABLE does not allow sheet names, so cannot make an ## exception for Excel here query <- sqltablecreate(channel, tablename, colspecs = colspecs, keys = keys) if(verbose) cat("Query: ", query, "\n", sep = "") ##last chance: let it die if fails res <- sqlQuery(channel, query, errors = FALSE) if(is.numeric(res) && res == -1) # No Data is fine stop(paste(odbcGetErrMsg(channel), collapse="\n")) if(sqlwrite(channel, tablename, dat, verbose=verbose, fast=fast, test=test, nastring=nastring) < 0) { err <- odbcGetErrMsg(channel) msg <- paste(err, collapse="\n") if("missing column name" %in% err) msg <- paste(msg, "Check case conversion parameter in odbcConnect", sep="\n") stop(msg) } invisible(1L) } mangleColNames <- function(colnames) gsub("[^[:alnum:]_]+", "", colnames) quoteColNames <- function(channel, colnames) { quotes <- attr(channel, "colQuote") if(length(quotes) >= 2L) paste(quotes[1L], colnames, quotes[2L], sep="") else if(length(quotes) == 1L) paste(quotes, colnames, quotes, sep="") else colnames } quoteTabNames <- function(channel, tablename) { if(attr(channel, "interpretDot") && grepl(".", tablename, fixed = TRUE)) return(tablename) quotes <- attr(channel, "tabQuote") if(length(quotes) >= 2L) paste(quotes[1L], tablename, quotes[2L], sep="") else if(length(quotes) == 1L) paste(quotes, tablename, quotes, sep="") else tablename } ################################################ # utility function # write to table with name data ############################################## sqlwrite <- function (channel, tablename, mydata, test = FALSE, fast = TRUE, nastring = NULL, verbose = FALSE) { if(!odbcValidChannel(channel)) stop("first argument is not an open RODBC channel") colnames <- as.character(sqlColumns(channel, tablename)[4L][, 1L]) ## match the transform in tablecreate (get rid of invalid chars in col names) colnames <- mangleColNames(colnames) cnames <- paste(quoteColNames(channel, colnames), collapse = ", ") dbname <- quoteTabNames(channel, tablename) if(!fast) { ## this doesn't do a good enough job with logicals. for(i in seq_along(mydata)) if(is.logical(mydata[[i]])) mydata[[i]] <- as.character(mydata[[i]]) data <- as.matrix(mydata) if(nchar(enc<- attr(channel, "encoding")) && is.character(data)) data <- iconv(data, to = enc) colnames(data) <- colnames ## quote character and date columns cdata <- sub("\\([[:digit:]]*\\)", "", sqlColumns(channel, tablename)[, "DATA_TYPE"]) tdata <- sqlTypeInfo(channel) nr <- match(cdata, tdata[, 2L]) tdata <- as.matrix(tdata[nr, 4:5]) ## quote all unkown types. tdata[is.na(nr), ] <- "'" for(cn in seq_along(cdata)) { td <- as.vector(tdata[cn,]) if(is.na(td[1L])) next if(identical(td, rep("'", 2L))) data[, cn] <- gsub("'", "''", data[, cn]) data[, cn] <- paste(td[1L], data[, cn], td[2L], sep = "") } data[is.na(mydata)] <- if(is.null(nastring)) "NULL" else nastring[1L] for (i in 1L:nrow(data)) { query <- paste("INSERT INTO", dbname, "(", cnames, ") VALUES (", paste(data[i, colnames], collapse = ", "), ")") if(verbose) cat("Query: ", query, "\n", sep = "") if(odbcQuery(channel, query) < 0) return(-1L) } } else { query <- paste("INSERT INTO", dbname, "(", cnames, ") VALUES (", paste(rep("?", ncol(mydata)), collapse=","), ")") if(verbose) cat("Query: ", query, "\n", sep = "") coldata <- sqlColumns(channel, tablename)[c(4L,5L,7L,9L)] if(any(is.na(m <- match(colnames, coldata[, 1])))) return(-1L) ## sometimes drivers get this wrong e.g. sqliteodbc if(any(notOK <- (coldata[,3L] == 0L))) { types <- coldata[notOK, 2] tdata <- sqlTypeInfo(channel) coldata[notOK, 3L] <- tdata[match(types, tdata[, 2L]), 3L] } if(odbcUpdate(channel, query, mydata, coldata[m, ], test = test, verbose = verbose, nastring = nastring) < 0) return(-1L) } return(invisible(1L)) } # # Generate create statement # parameter coldata is output from sqlColumns # parameter keys is output from sqlPrimaryKeys (and might be -1) # NB: some systems do not support sqlPKs ############################################## sqltablecreate <- function (channel, tablename, coldata = NULL, colspecs, keys = -1) { create <- paste("CREATE TABLE", quoteTabNames(channel, tablename), " (") if(!is.null(coldata)) { # called from sqlCopyTable j <- nrow(coldata) colnames <- as.character(coldata[, 4L]) for (i in 1L:j) { ## 4 =rowname, 6 coltype, 7 col size, 11 ? nullable if(coldata[i, 11] == 1) { null <- " NULL" null <- "" # Kludge for Oracle till bug fixed } else { null <- " NOT NULL" } colsize <- if(coldata[i, 7L] == 65535) " " else paste("(", coldata[i,7], ") ", sep="") create <- paste(create, quoteColNames(channel, mangleColNames(colnames[i])), " ", coldata[i, 6L], colsize, null, sep="") if(!is.numeric(keys)) { if(as.character(keys[[4L]]) == colnames[i]) create <- paste(create, "PRIMARY KEY") } if(i < j) create <- paste(create, ", ") } } else { # called from sqlSave colnames <- quoteColNames(channel, mangleColNames(names(colspecs))) entries <- paste(colnames, colspecs) if(is.list(keys)) { keyname <- as.character(keys[[4L]]) key <- match(keyname, names(colspecs)) entries[key] <- paste(entries[key], "NOT NULL PRIMARY KEY") } create <- paste(create, paste(entries, collapse = ", "), sep="") } create <- paste(create, ")", sep="") create } ############################################### # ##### Query Functions # Return a data frame according to as.is # ############################################### sqlTables <- function(channel, errors = FALSE, as.is = TRUE, catalog = NULL, schema = NULL, tableName = NULL, tableType = NULL, literal = FALSE) { if(!odbcValidChannel(channel)) stop("first argument is not an open RODBC channel") stat <- odbcTables(channel, catalog = catalog, schema = schema, tableName = tableName, tableType = tableType, literal = literal) if(stat < 0L) { if(errors) { if(stat == -2L) stop("invalid channel") else return(odbcGetErrMsg(channel)) } else return(invisible(-1L)) } else return(sqlGetResults(channel, as.is = as.is)) } sqlColumns <- function (channel, sqtable, errors = FALSE, as.is = TRUE, special = FALSE, catalog = NULL, schema = NULL, literal = FALSE) { if(!odbcValidChannel(channel)) stop("first argument is not an open RODBC channel") if(length(sqtable) != 1) stop(sQuote(sqtable), " should be a name") if(is.null(catalog) && is.null(schema)) { dbname <- odbcTableExists(channel, sqtable, FALSE, FALSE) if(!length(dbname)) { caseprob <- "" if(is.data.frame(nm <- sqlTables(channel)) && tolower(sqtable) %in% tolower(nm[,3])) caseprob <- "\nCheck case parameter in odbcConnect" stop(sQuote(sqtable), ": table not found on channel", caseprob) } if(grepl(".", dbname, fixed = TRUE)) { parts <- strsplit(dbname, ".", fixed = TRUE)[[1]] if(length(parts) > 2) stop("dot.dot.dot names are not supported") if(attr(channel, "isMySQL")) { ## This does not work for current drivers catalog <- parts[1] dbname <- parts[2] } else { schema <- parts[1] dbname <- parts[2] } } } else dbname <- switch(attr(channel, "case"), nochange = sqtable, toupper = toupper(sqtable), tolower = tolower(sqtable)) stat <- if(special) odbcSpecialColumns(channel, dbname, catalog, schema) else odbcColumns(channel, dbname, catalog, schema, literal) if(stat < 0L) { if(errors) { if(stat == -2L) stop("invalid channel") else return(odbcGetErrMsg(channel)) } else return(invisible(-1L)) } else return(sqlGetResults(channel, as.is = as.is)) } sqlPrimaryKeys <- function(channel, sqtable, errors = FALSE, as.is = TRUE, catalog = NULL, schema = NULL) { if(!odbcValidChannel(channel)) stop("first argument is not an open RODBC channel") if(length(sqtable) != 1) stop(sQuote(sqtable), " should be a name") if(is.null(catalog) && is.null(schema)) { dbname <- odbcTableExists(channel, sqtable, FALSE, FALSE) if(!length(dbname)) { caseprob <- "" if(is.data.frame(nm <- sqlTables(channel)) && tolower(sqtable) %in% tolower(nm[, 3L])) caseprob <- "\nCheck case parameter in odbcConnect" stop(sQuote(sqtable), ": table not found on channel", caseprob) } if(grepl(".", dbname, fixed = TRUE)) { parts <- strsplit(dbname, ".", fixed = TRUE)[[1]] if(length(parts) > 2) stop("dot.dot.dot names are not supported") if(attr(channel, "isMySQL")) { ## This does not work for current drivers catalog <- parts[1] dbname <- parts[2] } else { schema <- parts[1] dbname <- parts[2] } } } else dbname <- switch(attr(channel, "case"), nochange = sqtable, toupper = toupper(sqtable), tolower = tolower(sqtable)) stat <- odbcPrimaryKeys(channel, dbname, catalog, schema) if(stat < 0L) { if(errors) { if(stat == -2L) stop("invalid channel") else return(odbcGetErrMsg(channel)) } else return(invisible(-1L)) } else return(sqlGetResults(channel, as.is = as.is)) } sqlQuery <- function(channel, query, errors = TRUE, ..., rows_at_time) { if(!odbcValidChannel(channel)) stop("first argument is not an open RODBC channel") if(missing(query)) stop("missing argument 'query'") ## could argue that 'max' should restrict rows_at_time rows_at_time <- if(missing(rows_at_time)) attr(channel, "rows_at_time") else max(1, min(1024, rows_at_time)) stat <- odbcQuery(channel, query, rows_at_time) if(stat == -1L) { if(errors) return(odbcGetErrMsg(channel)) else return(invisible(stat)) } else return(sqlGetResults(channel, errors = errors, ...)) } sqlGetResults <- function (channel, as.is = FALSE, errors = FALSE, max = 0, buffsize = 1000, nullstring = NA_character_, na.strings = "NA", believeNRows = TRUE, dec = getOption("dec"), stringsAsFactors = FALSE) { if(!odbcValidChannel(channel)) stop("first argument is not an open RODBC channel") as.df <- function(value, colnames) { for(i in seq_along(value)) if(is.list(value[[i]])) class(value[[i]]) <- "ODBC_binary" ## convert list to data frame class(value) <- "data.frame" names(value) <- make.unique(colnames) row.names(value) <- seq_along(value[[1L]]) value } cols <- .Call(C_RODBCNumCols, attr(channel, "handle_ptr")) ## FIXME: should this be <= 0L? if(cols < 0L) { if(errors) return("No data") else return(invisible(-1L)) } cData <- .Call(C_RODBCColData, attr(channel, "handle_ptr")) dbdata <- odbcFetchRows(channel, max = max, buffsize = buffsize, nullstring = nullstring, believeNRows = believeNRows) if(dbdata$stat < 0L) { if(errors) return(odbcGetErrMsg(channel)) else return(invisible(dbdata$stat)) } data <- as.df(dbdata$data, cData$names) if(nrow(data) > 0L) { cols <- ncol(data) enc <- attr(channel, "encoding") if(length(na.strings)) for (i in 1L:cols) if(is.character(data[,i])) data[data[,i] %in% na.strings, i] <- NA if(is.logical(as.is)) { as.is <- rep(as.is, length.out = cols) } else if(is.numeric(as.is)) { if(any(as.is < 1L | as.is > cols)) stop("invalid numeric 'as.is' expression") i <- rep(FALSE, cols) i[as.is] <- TRUE as.is <- i } else if(length(as.is) != cols) stop("'as.is' has the wrong length ", length(as.is), " != cols = ", cols) for (i in seq_len(cols)) { if(is.character(data[[i]]) && nchar(enc)) data[[i]] <- iconv(data[[i]], from = enc) if(as.is[i] || is.list(data[[i]])) next if(is.numeric(data[[i]])) next if(cData$type[i] == "date") data[[i]] <- as.Date(data[[i]]) else if(cData$type[i] == "timestamp") data[[i]] <- as.POSIXct(data[[i]]) else data[[i]] <- type.convert(as.character(data[[i]]), na.strings = na.strings, as.is = !stringsAsFactors, dec = dec) } } data } format.ODBC_binary <- print.ODBC_binary <- function(x, ...) sapply(x, function(x) paste(as.character(x), collapse="")) ################################################# sqlUpdate <- function(channel, dat, tablename = NULL, index = NULL, verbose = FALSE, test = FALSE, nastring = NULL, fast = TRUE) { if(!odbcValidChannel(channel)) stop("first argument is not an open RODBC channel") if(missing(dat)) stop("missing parameter") if(!is.data.frame(dat)) stop("should be a data frame or matrix") if(is.null(tablename)) tablename <- if(length(substitute(dat)) == 1L) as.character(substitute(dat)) else as.character(substitute(dat)[[2L]]) if(length(tablename) != 1L) stop(sQuote(tablename), " should be a name") dbname <- odbcTableExists(channel, tablename) ## test for missing values. cnames <- colnames(dat) ## match the transform in tablecreate (get rid of inval chars in col names) cnames <- mangleColNames(cnames) cnames <- switch(attr(channel, "case"), nochange = cnames, toupper = toupper(cnames), tolower = tolower(cnames)) ## get the column descriptor data for the rest of the table. ## This may or may not include the unique column depending ## on whether or not it is a special column. cdata <- sqlColumns(channel,tablename) coldata <- cdata[c(4L,5L,7L,9L)] if(is.character(index)) { intable <- index %in% coldata[ ,1L] if(any(!intable)) stop("index column(s) ", paste(index[!intable], collapse=" "), " not in database table") intable <- index %in% cnames if(any(!intable)) stop("index column(s) ", paste(index[!intable], collapse=" "), " not in data frame") indexcols <- index } else { haveKey <- FALSE ## identify the column(s) that is a unique row specifier along with ## its descriptor data. First try a primary key indexcols <- sqlPrimaryKeys(channel, tablename) if(!(is.numeric(indexcols) || nrow(indexcols) == 0L)) { ## have primary key(s) index <- as.character(indexcols[, 4L]) intable <- index %in% cnames if(any(intable)) { indexcols <- index[intable][1L] haveKey <- TRUE } } if(!haveKey){ ## try special columns indexcols <- sqlColumns(channel, tablename, special = TRUE) if(!(is.numeric(indexcols) || nrow(indexcols) == 0L)) { indexcols <- indexcols[c(2L,3L,5L,7L)] ## check that the unique column(s) are present in the dataframe indexflags <- indexcols[, 1L] %in% cnames if(all(indexflags)) { ## if a unique column is not in coldata bind it on incoldata <- indexcols[, 1L] %in% coldata[, 1L] if(any(!incoldata)) coldata <- rbind(coldata, indexcols[!incoldata]) indexcols <- as.character(indexcols[, 1L]) haveKey <- TRUE } } } if(!haveKey){ ## can we use a column 'rownames' as index column? m <- match("rownames", tolower(coldata[, 1L])) if(is.na(m)) stop("cannot update ", sQuote(tablename), " without unique column") indexcols <- coldata[m, 1L] dat <- cbind(row.names(dat), dat) names(dat)[1L] <- indexcols cnames <- c(indexcols, cnames) } } ## check that no columns are present in the df that are not in the table intable <- cnames %in% coldata[, 1L] if(any(!intable)) stop("data frame column(s) ", paste(cnames[!intable], collapse=" "), " not in database table") cn1 <- cnames[!cnames %in% indexcols] cn2 <- quoteColNames(channel, cn1) if(fast) { query <- paste("UPDATE", dbname, "SET") query <- paste(query, paste(paste(cn2, "=?", sep =""), collapse = ", ")) paramnames <- c(cn1, indexcols) if (length(indexcols)) { ind <- quoteColNames(channel, indexcols) query <- paste(query, "WHERE", paste(paste(ind, "=?", sep =""), collapse = " AND ")) } row.names(coldata) <- coldata[, 1L] paramdata <- coldata[paramnames, ] if(test | verbose) cat("Query: ", query, "\n", sep = "") stat <- odbcUpdate(channel, query, dat, paramdata, test = test, verbose = verbose, nastring = nastring) } else { data <- as.matrix(dat) if(nchar(enc <- attr(channel, "encoding")) && is.character(data)) data[] <- iconv(data, to = enc) ## we might have mangled and case-folded names on the database. colnames(data) <- cnames ## quote character etc columns cdata <- sub("\\([[:digit:]]*\\)", "", sqlColumns(channel, tablename)[, "TYPE_NAME"]) tdata <- sqlTypeInfo(channel) tdata <- as.matrix(tdata[match(cdata, tdata[, 1]), c(4,5)]) for(cn in seq_along(cdata)) { td <- as.vector(tdata[cn,]) if(is.na(td[1L])) next if(identical(td, rep("'", 2L))) data[, cn] <- gsub("'", "''", data[, cn]) data[, cn] <- paste(td[1L], data[, cn], td[2L], sep = "") } data[is.na(dat)] <- if(is.null(nastring)) "NULL" else nastring for (i in 1L:nrow(data)) { query <- paste("UPDATE", dbname, "SET") query <- paste(query, paste(paste(cn2, "=", data[i, cn1], sep =""), collapse = ", ")) if (length(indexcols)) { # will always be true. ind <- quoteColNames(channel, indexcols) query <- paste(query, "WHERE", paste(paste(ind, "=", data[i, indexcols], sep =""), collapse = " AND ")) } if(verbose) cat("Query: ", query, "\n", sep = "") if((stat <- odbcQuery(channel, query)) < 0L) break } } if(stat < 0L) stop(paste(odbcGetErrMsg(channel), sep="\n")) invisible(stat) } odbcTableExists <- function(channel, tablename, abort = TRUE, forQuery = TRUE, allowDot = attr(channel, "interpretDot")) { if(!odbcValidChannel(channel)) stop("first argument is not an open RODBC channel") if(length(tablename) != 1) stop(sQuote(tablename), " should be a name") tablename <- as.character(tablename) switch(attr(channel, "case"), nochange = {}, toupper = tablename <- toupper(tablename), tolower = tablename <- tolower(tablename) ) isExcel <- odbcGetInfo(channel)[1L] == "EXCEL" hasDot <- grepl(".", tablename, fixed = TRUE) if(allowDot && hasDot) { parts <- strsplit(tablename, ".", fixed = TRUE)[[1]] ## FIXME if(length(parts) > 2) ans <- FALSE else { res <- if(attr(channel, "isMySQL")) sqlTables(channel, catalog = parts[1], tableName = parts[2]) else sqlTables(channel, schema = parts[1], tableName = parts[2]) ans <- is.data.frame(res) && nrow(res) > 0 } } else if(!isExcel) { ## just ask about this name res <- sqlTables(channel, tableName = tablename) ans <- is.data.frame(res) && nrow(res) > 0 } else { res <- sqlTables(channel) tables <- stables <- if(is.data.frame(res)) res[, 3] else "" ## Excel appends a $ to worksheets, single-quotes non-standard names if(isExcel) { tables <- sub("^'(.*)'$", "\\1", tables) tables <- unique(c(tables, sub("\\$$", "", tables))) } ans <- tablename %in% tables } if(abort && !ans) stop(sQuote(tablename), ": table not found on channel") enc <- attr(channel, "encoding") if(nchar(enc)) tablename <- iconv(tablename, to = enc) if(ans && isExcel) { dbname <- if(tablename %in% stables) tablename else paste(tablename, "$", sep = "") if(forQuery) paste("[", dbname, "]", sep="") else dbname } else if(ans) { ## we don't in general want to quote dotted names if(forQuery && 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ripleyusersRODBC/inst/doc/0000755000176000001440000000000014120634134012653 5ustar ripleyusersRODBC/inst/doc/RODBC.Rnw0000644000176000001440000022114014113153543014176 0ustar ripleyusers\documentclass[a4paper,11pt]{article} \usepackage{hyperref,color,url,alltt,parskip} %\usepackage{Sweave} \usepackage{Rd} % mainly for upright quotes. \usepackage{graphicx} %\newcommand{\code}[1]{\texttt{#1}} %\newcommand{\pkg}[1]{\texttt{#1}} %\newcommand{\var}[1]{\emph{#1}} %\newcommand{\link}[1]{#1} %\newcommand{\sQuote}[1]{`#1'} \newenvironment{smallexample}{\begin{alltt}\scriptsize}{\end{alltt}} \newenvironment{example}{\begin{alltt}\small}{\end{alltt}} \setcounter{topnumber}{2} \def\topfraction{1.0} \setcounter{bottomnumber}{1} \def\bottomfraction{.3} \setcounter{totalnumber}{3} \def\textfraction{0} \def\floatpagefraction{0.8} \setcounter{dbltopnumber}{2} \usepackage{color} \definecolor{Blue}{rgb}{0,0,0.8} \hypersetup{% colorlinks,% plainpages=true,% linkcolor=black,% citecolor=black,% urlcolor=Blue,% pdfstartview=FitH,% pdfview={XYZ null null null},% %pdfpagemode=UseNone,% pdftitle={ODBC Connectivity for R},% pdfauthor={B. D. Ripley}% } \begin{document} %\VignetteIndexEntry{ODBC Connectivity} %\VignetteDepends{RODBC} %\VignetteKeywords{databases} %\VignetteKeywords{ODBC} %\VignettePackage{RODBC} %\SweaveOpts{engine=R,eps=FALSE} \title{ODBC Connectivity} \author{by Brian Ripley\\ Department of Statistics, University of Oxford\\ \url{ripley@stats.ox.ac.uk} } \maketitle \sloppy \noindent Package \pkg{RODBC} implements ODBC database connectivity. It was originally written by Michael Lapsley (St George's Medical School, University of London) in the early days of R (1999), but after he disappeared in 2002, it was rescued and since much extended by Brian Ripley. Version 1.0-1 was released in January 2003, and \pkg{RODBC} is nowadays a mature and much-used platform for interfacing R to database systems. Thanks to Marc Schwartz for contributing some of the experiences here. See also the archives of the \code{R-sig-db} mailing list. \section{ODBC Concepts} ODBC aims to provide a common API for access to SQL\footnote{SQL is a language for querying and managing data in databases---see \url{https://en.wikipedia.org/wiki/SQL}.}-based database management systems (DBMSs) such as MySQL\footnote{and its fork, MariaDB}, PostgreSQL, Microsoft Access and SQL Server, DB2, Oracle and SQLite. It originated on Windows in the early 1990s, but ODBC \emph{driver managers} \code{unixODBC} and \code{iODBC} are nowadays available on a wide range of platforms (and \code{iODBC} is used by macOS. The connection to the particular DBMS needs an \emph{ODBC driver}: these may come with the DBMS or the ODBC driver manager or be provided separately by the DBMS developers, and there are third-party\footnote{but there are close links between \code{unixODBC} and Easysoft, and \code{iODBC} and OpenLink.} developers such as Actual Technologies, Easysoft and OpenLink. (This means that for some DBMSs there are several different ODBC drivers available, and they can behave differently.) Microsoft provides drivers on Windows for non-SQL database systems such as DBase and FoxPro, and even for flat files and Excel spreadsheets. Actual Technologies sell a driver for macOS that covers (some) Excel spreadsheets and flat files. A connection to a specific database is called a \emph{Data Source Name} or DSN (see \url{https://en.wikipedia.org/wiki/Database_Source_Name}). See Appendix~B for how to set up DSNs on your system. One of the greatest advantages of ODBC is that it is a cross-platform client-server design, so it is common to run R on a personal computer and access data on a remote server whose OS may not even be known to the end user. This does rely on suitable ODBC drivers being available on the client: they are for the major cross-platform DBMSs, and some vendors provide `bridge' drivers, so that for example a `bridge' ODBC driver is run on a Linux client and talks to the Access ODBC driver on a remote Windows machine. ODBC provides an abstraction that papers over many of the differences between DBMSs. That abstraction has developed over the years, and \pkg{RODBC} works with ODBC version 3. This number describes both the API (most drivers nowadays work with API 3.51 or 3.52) and capabilities. The latter allow ODBC drivers to implement newer features partially or not at all, so some drivers are much more capable than others: in the main \pkg{RODBC} works with basic features. ODBC is a superset of the ISO/IEC 9075-3:1995 SQL/CLI standard. A somewhat biased overview of ODBC on Unix-alikes can be found at \url{https://www.easysoft.com/developer/interfaces/odbc/linux.html}. \section{Basic Usage} Two groups of functions are provided in \pkg{RODBC}. The mainly internal \code{odbc*} commands implement low-level access to C-level ODBC functions with similar\footnote{in most cases with prefix \code{SQL} replacing \code{odbc}.} names. The \code{sql*} functions operate at a higher level to read, save, copy and manipulate data between data frames and SQL tables. The two low-level functions which are commonly used make or break a connection. \subsection{Making a connection} ODBC works by setting up a \emph{connection} or \emph{channel} from the client (here \pkg{RODBC}) to the DBMSs as specified in the DSN. Such connections are normally used throughout a session, but should be closed explicitly at the end of the session---however \pkg{RODBC} will clear up after you if you forget (with a warning that might not be seen in a GUI environment). There can be many simultaneous connections. The simplest way to make a connection is \begin{example} library(RODBC) ch <- odbcConnect("\var{some\_dsn}") \end{example} and when you are done with it, \begin{example} close(ch) # or if you prefer odbcClose(ch) \end{example} The connection object \code{ch} is how you specify one of potentially many open connections, and is the first argument to all other \pkg{RODBC} functions. If you forget the details, printing it will give some summary information. If the DBMS user and password are needed and not stored in the DSN, they can be supplied by e.g.{} \begin{example} ch <- odbcConnect("\var{some\_dsn}", uid = "\var{user}", pwd = "\var{****}") \end{example} Users of the R GUI under Windows\footnote{This does not work from \code{Rterm.exe}.} have another possibility: if an incompletely specified DSN is given, the driver-specific Data Source dialog box will pop up to allow it to be completed. % Something about security here? More flexibility is available \emph{via} function \code{odbcDriverConnect}, which works with a \emph{connection string}. At its simplest it is \begin{example} "DSN=\var{dsn};UID=\var{uid};PWD=\var{pwd}" \end{example} but it can be constructed without a DSN by specifying a driver directly \emph{via} \code{DRIVER=}, and more (in some cases many more) driver-specific parameters can be given. See the documentation for the driver (and Appendix~A) for more details. \subsection{Reading from a database} where `database' can be interpreted very widely, including for example Excel spreadsheets and directories of flat files. The simplest and most common use of \pkg{RODBC} is to extract data from databases held on central database servers. Such access is read-only, and this can be enforced by settings in the DSN or \emph{via} permission settings (also known as \emph{privileges}) on the database. To find out what tables are accessible from a connection \code{ch}, use \begin{example} sqlTables(ch) \end{example} Some drivers will return all visible table-like objects, not just those owned by you. In that case you may want to restrict the scope by e.g.{} \begin{example} sqlTables(ch, tableType = "TABLE") sqlTables(ch, schema = "\var{some\_pattern}") sqlTables(ch, tableName = "\var{some\_pattern}") \end{example} The details are driver-specific but in most cases \code{\var{some\_pattern}} can use wildcards\footnote{these are the SQL wildcards used for example in \code{LIKE} clauses.} with \emph{underscore} matching a single character and \emph{percent} matching zero or more characters. Since underscore is a valid character in a table name it can be handled literally by preceding it by a backslash---but it is rarely necessary to do so. A table can be retrieved as a data frame by \begin{example} res <- sqlFetch(ch, "\var{table\_name}") \end{example} If it has many rows it can be retrieved in sections by \begin{example} res <- sqlFetch(ch, "\var{table\_name}", max = \var{m}) res <- sqlFetchMore(ch, "\var{table\_name}", max = \var{m}) \dots \end{example} It is often necessary to reduce the data to be transferred: we have seen how to subset rows, but it can be more effective to restrict the columns or to return only rows meeting some conditions. To find out what columns are available, use \code{sqlColumns}, for example \begin{smallexample} > sqlColumns(ch, "USArrests") TABLE\_CAT TABLE\_SCHEM TABLE\_NAME COLUMN\_NAME DATA\_TYPE TYPE\_NAME COLUMN\_SIZE 1 ripley USArrests State 12 varchar 255 2 ripley USArrests Murder 8 double 15 3 ripley USArrests Assault 4 integer 10 4 ripley USArrests UrbanPop 4 integer 10 5 ripley USArrests Rape 8 double 15 \dots \end{smallexample} Then an \emph{SQL Query} can be used to return part of the table, for example (MySQL on Linux) \begin{example} > sqlQuery(sh, paste("SELECT State, Murder FROM USArrests", + "WHERE Rape > 30 ORDER BY Murder")) State Murder 1 Colorado 7.9 2 Arizona 8.1 3 California 9.0 4 Alaska 10.0 5 New Mexico 11.4 6 Michigan 12.1 7 Nevada 12.2 8 Florida 15.4 \end{example} Note that although there are standards for SQL, all the major producers of DBMSs have their own dialects, so for example on the Oracle and DB2 systems we tested this query had to be given as \begin{example} > sqlQuery(ch, paste('SELECT "State", "Murder" FROM "USArrests"', + 'WHERE "Rape" > 30 ORDER BY "Murder"')) \end{example} or even in upper case. Describing how to extract data from databases is the \emph{forte} of the SQL language, and doing so efficiently is the aim of many of the DBMSs, so this is a very powerful tool. To learn SQL it is best to find a tutorial specific to the dialect you will use; for example Chapter~3 of the MySQL manual is a tutorial. A basic tutorial which covers some common dialects\footnote{MySQL, Oracle and Microsoft SQL Server.} can be found at \url{http://www.1keydata.com/sql/sql.html}: tutorials on how to perform common tasks in several commonly used DBMSs are available at \url{http://sqlzoo.net/}. % <<>>= % library(RODBC) % channel <- odbcConnect("test") % sqlSave(channel, USArrests, rownames = "State", verbose = TRUE) % sqlQuery(channel, paste("select State, Murder from USArrests", % "where Rape > 30 order by Murder")) % sqlFetch(channel, "USArrests", rownames = "State") % sqlDrop(channel, "USArrests") % close(channel) % @ \subsection{Table Names} SQL-92 expects both table and column names to be alphanumeric plus underscore, and \pkg{RODBC} does not in general support vendor extensions (for example Access allows spaces). There are some system-specific quoting schemes: Access and Excel allow table names to be enclosed in \code{[ ]} in SQL queries, MySQL (by default) quotes \emph{via} backticks, and most other systems use the ANSI SQL standard of double quotes. %More recent SQL standards allow \code{\$} and \code{\#} under some %circumstances. The \code{odbcConnnect} function allows the specification of the quoting rules for names \pkg{RODBC} itself sends, but sensible defaults\footnote{backticks for MySQL, \code{[ ]} for the Access and Excel convenience wrappers, otherwise ANSI double quotes.} are selected. Users do need to be aware of the quoting issue when writing queries for \code{sqlQuery} themselves. Note the underscore is a wildcard character in table names for some of the functions, and so may need to be escaped (by backslash) at times. Normally table names containing a period are interpreted as references to another schema (see below): this can be suppressed by opening the connection with argument \code{interpretDot = FALSE}. \subsection{Types of table} The details are somewhat DBMS-specific, but `tables' usually means `tables, views or similar objects'. In some systems `tables' are physical objects (files) that actually store data---Mimer calls these \emph{base tables}. For these other `tables' can be derived that present information to the user, usually called `views'. The principal distinctions between a (base) table and a view are \begin{itemize} \item Using \code{DROP} on a table removes the data, whereas using it on a view merely removes the convenient access to a representation of the data. \item The access permission (\emph{privilege}) of a view can be very different from those of a table: this is commonly used to hide sensitive information. \end{itemize} A view can contain a subset of the information available in a single table or combine information from two or more tables. Further, some DBMSs distinguish between tables and views generated by ordinary users and \emph{system tables} used by the DBMS itself. Where present, this distinction is reflected in the result of \code{sqlTable()} calls. Some DBMSs support \emph{synonyms} and/or \emph{aliases} which are simply alternative names for an existing table/view/synonym, often those in other schemas (see below). Typically tables, views, synonyms and aliases share a name space and so must have a name that is unique (in the enclosing schema where schemas are implemented). \section{Writing to a Database} To create or update a table in a database some more details need to be considered. For some systems, all table and column names need to be lower case (e.g.{} PostgreSQL, MySQL on Windows) or upper case (e.g.{} some versions of Oracle). To make this a little easier, the \code{odbcConnect} function allows a remapping of table names to be specified, and this happens by default for DBMSs where remapping is known to be needed. The main tool to create a table is \code{sqlSave}. It is safest to use this after having removed any existing table of the same name, which can be done by \begin{example} sqlDrop(ch, "\var{table\_name}", errors = FALSE) \end{example} Then in the simplest usage \begin{example} sqlSave(ch, \var{some\_data\_frame}) \end{example} creates a new table whose name is the name of the data frame (remapped to upper or lower case as needed) and with first column \code{rownames} the row names of the data frame, and remaining columns the columns of the data frame (with names remapped as necessary). For the many options, see the help page. \code{sqlSave} works well when asked to write integer, numeric and reasonable-length\footnote{which of course depends on the DBMS. Almost all have an implementation of \code{varchar} that allows up to 255 bytes or characters, and some have much larger limits. Calling \code{sqlTypeInfo} will tell you about the data type limits.} character strings to the database. It needs some help with other types of columns in mapping to the DBMS-specific types of column. For some drivers it can do a good job with date and date-time columns; in others it needs some hints (and e.g.{} for Oracle dates are stored as date-times). The files in the \code{RODBC/tests} directory in the sources and the installed file \code{tests.R} provide some examples. One of the options is the \code{fast} argument: the default is \code{fast = TRUE} which transfers data in binary format: the alternative is \code{fast = FALSE} which transfer data as character strings a row at a time---this is slower but can work better with some drivers (and worse with others). The other main tool for writing is \code{sqlUpdate} which is used to change rows in an existing table. Note that \pkg{RODBC} only does this in a simple fashion, and on up-market DBMSs it may be better to set cursors and use direct SQL queries, or at least to control transactions by calls to \code{odbcSetAutoCommit} and \code{odbcEndTran}. The basic operation of \code{sqlUpdate} is to take a data frame with the same column names (up to remapping) as some or all of the columns of an existing table: the values in the data frame are then used either to replace entries or to create new rows in the table. Rows in a DBMS table are in principle unordered and so cannot be referred to by number: the sometimes tricky question is to know what rows are to replaced. We can help the process by giving one or more \code{index} columns whose values must match: for a data frame the row names are often a good choice. If no \code{index} argument is supplied, a suitable set of columns is chosen based on the properties of the table. \subsection{Primary keys and indices} When a table is created (or afterwards) it can be given additional information to enable it to be used effectively or efficiently. \emph{Primary keys} are one (usually) or more columns that provide a reliable way to reference rows in the table: values of the primary key must be unique and not \code{NULL} (SQL parlance for `missing'). Primary keys in one table are also used as \emph{foreign keys} in another table: this ensure that e.g.{} values of \code{customer\_id} only take values which are included in the primary key column of that name in table \code{customers}. Support of foreign keys is patchy: some DBMSs (e.g,{} MySQL prior to 6.0) accept specifications but ignore them. \pkg{RODBC} allows primary keys to be set as part of the \code{sqlSave()} function when it creates a table: otherwise they can be set by \code{sqlQuery()} in DBMS-specific ways (usually by \code{ALTER TABLE}). Columns in a table can be declared as \code{UNIQUE}: primary keys and such columns are usually used as the basis for table indices, but other indices (sometimes called \emph{secondary indices}) can be declared by a \code{CREATE INDEX} SQL command. Whether adding primary keys or other indices has any effect on performance depends on the DBMS and the query. \section{Data types} This can be confusing: R has data types (including \code{character}, \code{double}, \code{integer} and various classes including \code{Date} and \code{POSIXct}), ODBC has both C and SQL data types, the SQL standards have data types and so do the various DBMSs \emph{and they all have different names} and different usages of the same names. Double- and single-precision numeric values and 32- and 16-bit integers (only) are transferred as binary values, and all other types as character strings. However, unless \code{as.is = TRUE}, \code{sqlGetResults} (used by all the higher-level functions to return a data frame) converts character data to a date/date-time class or \emph{via} \code{type.convert}. You can find out the DBMS names for the data types used in the columns of a table by a call to \code{sqlColumns}, and further information is given on those types in the result of \code{sqlTypeInfo}. For example in MySQL, \begin{smallexample} TABLE_CAT TABLE_SCHEM TABLE_NAME COLUMN_NAME DATA_TYPE TYPE_NAME COLUMN_SIZE 1 ripley USArrests State 12 varchar 255 2 ripley USArrests Murder 8 double 15 3 ripley USArrests Assault 4 integer 10 4 ripley USArrests UrbanPop 4 integer 10 5 ripley USArrests Rape 8 double 15 BUFFER_LENGTH DECIMAL_DIGITS NUM_PREC_RADIX NULLABLE REMARKS COLUMN_DEF 1 255 NA NA 0 '' 2 8 NA NA 1 3 4 0 10 1 4 4 0 10 1 5 8 NA NA 1 SQL_DATA_TYPE SQL_DATETIME_SUB CHAR_OCTET_LENGTH ORDINAL_POSITION IS_NULLABLE 1 12 NA 255 1 NO 2 8 NA NA 2 YES 3 4 NA NA 3 YES 4 4 NA NA 4 YES 5 8 NA NA 5 YES \end{smallexample} This gives the DBMS data by name and by number (twice, once the number used in the DBMS and once that used by SQL---they agree here). Other things of interest here are the column size, which gives the maximum size of the character representation, and the two columns about `nullable' which indicate if the column is allowed to contain missing values (SQL \code{NULL}s). The result of \code{sqlTypeInfo} has 19 columns and in the version of MySQL used here, 52 types. We show a small subset of the more common types: \begin{smallexample} > sqlTypeInfo(channel)[<...>, c(1:3,7,16)] TYPE_NAME DATA_TYPE COLUMN_SIZE NULLABLE SQL_DATATYPE 1 bit -7 1 1 -7 2 tinyint -6 3 1 -6 6 bigint -5 19 1 -5 18 text -1 65535 1 -1 19 mediumtext -1 16777215 1 -1 20 longtext -1 2147483647 1 -1 22 char 1 255 1 1 23 numeric 2 19 1 2 24 decimal 3 19 1 3 25 integer 4 10 1 4 37 smallint 5 5 1 5 41 double 6 15 1 6 43 float 7 7 1 7 45 double 8 15 1 8 47 date 91 10 1 9 48 time 92 8 1 9 49 year 5 4 1 5 50 datetime 93 21 1 9 51 timestamp 93 14 0 9 52 varchar 12 255 1 12 \end{smallexample} Note that there are both duplicate type names and duplicate type numbers. Most DBMSs started with their own data types and later mapped the standard SQL data types on to them, although these may only be partially implemented. Some DBMSs allow user-defined data types, for example enumerations. Commonly used data types fall into a number of groups: \begin{description} \item[Character types] Character types can be classified three ways: fixed or variable length, by the maximum size and by the character set used. The most commonly used types\footnote{the SQL names for these are \code{CHARACTER VARYING} and \code{CHARACTER}, but these are too cumbersome for routine use.} are \code{varchar} for short strings of variable length (up to some maximum) and \code{char} for short strings of fixed length (usually right-padded with spaces). The value of `short' differs by DBMS and is at least 254, often a few thousand---often other types will be available for longer character strings. There is a sanity check which will allow only strings of up to 65535 bytes when reading: this can be removed by recompiling \pkg{RODBC}. Many other DBMSs have separate types to hold Unicode character strings, often with names like \code{nvarchar} or \code{wvarchar}. Note that currently \pkg{RODBC} only uses the current locale for character data, which could be UTF-8 (and will be on macOS and in many cases on Linux and other Unix-alikes), but is never UCS-2 as used on Windows. So if character data is stored in the database in Unicode, it will be translated (with a possible loss of information) in non-Unicode locales. (This may change in future versions of \pkg{RODBC}.) Some DBMSs such as PostgreSQL and Microsoft SQL Server allow variable-length character strings of length only limited by resources. These do not fit well with the ODBC model that requires buffers to be allocated to transfer character data, and so such types may be subjected (by the ODBC driver) to a fixed limit or not work at all. \item[Integer types] Most DBMSs have types for 32-bit (\code{integer}, synomyn \code{int}) and 16-bit (\code{smallint}) integers. Some, including MySQL, also have unsigned versions and 1-bit, 8-bit and 64-bit integer types: these further types would usually be transferred as character strings and converted on reading to an \code{integer} or \code{double} vector. Type names \code{int2}, \code{int4} and \code{int8} are common as synonyms for the basic type names. The SQL standard does not require \code{integer} and \code{smallint} to be binary (rather than decimal) types, but they almost always are binary. Note that 64-bit integers will be transferred as character strings and read by \code{sqlGetResults} as character vectors or (for $2^{31} \le |x| < 2^{53}$) as \code{double} vectors. \item[Floating-point types] The basic SQL floating-point types are 8 and 7 for double- and single-precision binary types. The SQL names are \code{double precision} and \code{real}, but beware of the variety of names. Type~6 is \code{float} in the standard, but is used by some DBMSs\footnote{In Oracle the \code{FLOAT} type is a decimal and not a binary type.} for single-precision and by some for double-precision: the forms \code{float(24)} and \code{float(53)} are also commonly supported. You should not assume that these types can store \code{Inf}, \code{-Inf} or \code{NaN}, but they often can. \item[Other numeric types] It is common to store decimal quantities in databases (e.g.{} currency amounts) and types 2 and 3 are for decimals. Some DBMSs have specialized types to handle currencies, e.g.{} \code{money} in Microsoft SQL Server. Decimal types have a \emph{precision} (the maximum number of significant decimal digits) and \emph{scale} (the position of the decimal point). \code{numeric} and \code{decimal} are usually synonymous, but the distinction in the standards is that for \code{numeric} the precision is exact whereas for \code{decimal} the DBMS can use a larger value than that specified. % e.g. Mimer Some DBMSs have a type \code{integer(\var{p})} to represent up to \code{\var{p}} decimal digits, and this may or may not be distinct from \code{decimal(\var{p}, 0)}. % 'currently' is from 5.1.x DBMSs do not necessarily fully implement decimal types, e.g.{} MySQL currently stores them in binary and used to store them as character strings. \item[Dates and times] The handling of dates and times is very much specific to the DBMS. Some allow fractional seconds in date-times, and some do not; some store timezones with date-times or always use UTC and some do not, and so on. Usually there are also types for time intervals. All such types are transferred as character strings in \pkg{RODBC}. \item[Binary types] These are less common, and unsupported by \pkg{RODBC} prior to version 1.3-0. They parallel character types in that they are a sequence of bytes of fixed or variable length, sometimes with additional types for long sequences: there are separate ODBC types for \code{SQL\_BINARY}, \code{SQL\_VARBINARY} and \code{SQL\_LONGVARBINARY}. Binary types can currently only be read as such, and they are returned as column of class \code{"ODBC\_binary"} which is a list of raw vectors. \end{description} % An example is BOOLEAN in Mimer It is possible (but rare) for the DBMS to support data types that the ODBC driver cannot handle. \subsection{Data types when saving a data frame} When \code{sqlSave} creates a table, there is some choice as to the SQL data types used. The default is to select the SQL data type from the R type via the \code{typeInfo} argument to \code{sqlSave}. If this is not supplied (usual) a default mapping is looked up using \code{getSqlTypeInfo()} or by interrogating \code{\link{sqlTypeInfo()}}. This will almost always produce the correct mapping for numeric, integer and character columns of up to 254 characters (or bytes). In other cases (include dates and date-times) the desired SQL type can be specified for each column \emph{via} the argument \code{varTypes}, a named character vector with names corresponding to (some of) the names in the data frame to be saved. Only a very few DBMSs have a logical data type and the default mapping is to store R logical vectors as \code{varchar(5)}. For others DBMSs \code{BIT}, \code{TINYINT} or an enumeration type could be used (but the column may be need to be converted to and from a suitable representation). For example, in MySQL we could use \code{enum('FALSE', 'TRUE')}, but this is actually stored as \code{char(5)}. Note that to represent \code{NA} the SQL data type chosen needs to be nullable, which \code{BIT} often is not. (Mimer has a nullable data type \code{BOOLEAN} but this is not supported by the ODBC client.) \subsection{SQLite} SQLite's concept of `data type' is anomalous: version~3 does recognize types of data (in version~2 everything was a character string), but it does not have a fixed type for a column in a table (although the type specified in the \code{CREATE TABLE} statement is a `recommended' type for the values of that column). Every value is categorized as null, integer (of length 1, 2, 3, 4, 6 or 8 bytes), double, text (UTF-8 or UTF-16) or BLOB (a sequence of bytes). This does not fit well with the ODBC interface which pre-determines a type for each column before reading or writing it: the `SQLite ODBC' driver falls back to a \code{SQL\_VARCHAR} or \code{SQL\_LONGVARCHAR} type if the column type is not available. \subsection{ODBC data types} ODBC defines two sets of data types: \emph{SQL data types} and \emph{C data types}. SQL data types indicate the data types of data stored at the data source using standard names. C data types indicate the data types used in the compiled code in the application (here \pkg{RODBC}) when transferring data and are the same for all drivers. The ODBC SQL data types are abstractions of the data types discussed above with names like \code{SQL\_INTEGER}. They include \code{SQL\_LONGVARCHAR} for large character types and \code{SQL\_WVARCHAR} for Unicode character types. It is usually these types that are returned (by number) in the \code{SQL\_DATA\_TYPE} column of the result of \code{sqlColumns} and \code{SQL\_DATATYPE} column of the result of \code{sqlTypeInfo}. The mapping from names to numbers is given in table~1. \begin{table}[tbp] \qquad{\small\tt \begin{tabular}{lrlr} SQL\_CHAR&1&SQL\_LONGVARCHAR&-1\\ SQL\_NUMERIC&2&SQL\_BINARY&-2\\ SQL\_DECIMAL&3&SQL\_VARBINARY&-3\\ SQL\_INTEGER&4&SQL\_LONGVARBINARY&-4\\ SQL\_SMALLINT&5&SQL\_BIGINT&-5\\ SQL\_FLOAT&6&SQL\_TINYINT&-6\\ SQL\_REAL&7&SQL\_BIT&-7\\ SQL\_DOUBLE&8&SQL\_WCHAR&-8\\ SQL\_DATETIME&9&SQL\_WVARCHAR&-9\\ SQL\_INTERVAL&10&SQL\_WLONGVARCHAR&-10\\ SQL\_TIMESTAMP&11&SQL\_GUID&-11\\ SQL\_VARCHAR&12\\ SQL\_TYPE\_DATE&91\\ SQL\_TYPE\_TIME&92\\ SQL\_TYPE\_TIMESTAMP&93 \end{tabular}} \caption{Mapping between ODBC SQL data type names and numbers. (GUIDs are 16-byte numbers, Microsoft's implementation of UUIDs.)} \end{table} The only ODBC C data types currently used by \pkg{RODBC} are \code{SQL\_C\_DOUBLE}, \code{SQL\_C\_SLONG} (32-bit signed integers) and \code{SQL\_C\_CHAR} for reading and writing, and \code{SQL\_C\_FLOAT} (single-precision), \code{SQL\_C\_SSHORT} (16-bit signed integers) and \code{SQL\_C\_BINARY} for reading from the database. \url{https://msdn.microsoft.com/en-us/library/ms713607%28VS.85%29.aspx} is the defintiive source of information about ODBC data types. \section{Schemas and Catalogs} This is a more technical section: few users will need to deal with these concepts. \sQuote{Schemas}\footnote{which is the usual plural in this technical usage, athough \emph{schemata} is more usual in English.} are collections of objects (such as tables and views) within a database that are supported by some DBMSs: often a separate schema is associated with each user (and \sQuote{schema} in ODBC~3 replaced \sQuote{owner} in ODBC~2). In SQL-92, schemas are collected in a \sQuote{catalog} which is often implemented as a database. Where schemas are implemented, there is a \emph{current schema} used to find unqualified table names, and tables in other schemas can be referred to within SQL queries using the \code{\var{schema}.\var{table}} notation. You can think of a schema as analogous to a name space; it allows related objects to be grouped together without worrying about name clashes with other groups. (Some DBMSs will search for unqualified table names in a search path: see the detailed descriptions below.) Note that \sQuote{schema} is used in another sense in the database literature, for the design of a database and in particular of tables, views and privileges. Here are some details of various DBMSs' interpretations of \code{catalog} and \code{schema} current at the time of writing (mid 2009). (These descriptions are simplistic, and in some cases experimental observations.) \begin{itemize} \item SQLite uses dotted names for alternative databases that are attached by an \code{ATTACH DATABASE} command.\footnote{and may be subsequently detached by a \code{DETACH DATABASE} command} There is a search path of databases, so it is only necessary to use the dotted name notation when there are tables of the same name on attached databases. The initial database is known as \code{main} and that used for temporary tables as \code{temp}. \item MySQL uses \code{catalog} to refer to a database. In MySQL's parlance, `schema' is a little-used synonym for \sQuote{database}. \item PostgreSQL only allows a session to access one database, and does not use `catalog' except to refer to the current database. Version 7.3 introduced schemas---users can create their own schemas with a \code{CREATE SCHEMA} query. Tables are by default in the \code{public} schema, and unqualified table names are searched for along a \sQuote{search path} of schemas (by default, containing \code{public}). \item Oracle uses schemas as synonymous with \sQuote{owner} (also known as \sQuote{user}). There is no way for a user to create additional schemas (that is not what \code{CREATE SCHEMA} does in Oracle). \item IBM DB2 uses schemas as name spaces for objects that may lie on different databases: using \emph{aliases} allows objects to be in more than one schema. The initial current schema is named the same as the user (\code{SQLID} in DB2 parlance), but users can create additional schemas with \code{CREATE SCHEMA} statements. \item Microsoft SQL Server 2008 uses both \code{catalog} and \code{schema}, \code{catalog} for the database and \code{schema} for the type of object, e.g. \code{"sys"} for most of the system tables/views and (default) \code{"dbo"} for user tables. Further schemas can be created by users. The default schema for a user can be set when the user is created and changed \emph{via} \code{ALTER USER}. Prior to SQL Server 2005, `schema' meant `user', and the search path for unqualified names was the database user then \code{"dbo"}. \item The Microsoft Excel and Access ODBC drivers do not use schemas, but do use \code{catalog} to refer to other database/spreadsheet files. \item Mimer (\url{www.mimer.com}) uses schemas which are normally the same as users (which it calls \emph{IDENT}s), but users can create additional schemas with \code{CREATE SCHEMA} statements. There are also system schemas. Mimer uses `schemata' as the plural of schema. \end{itemize} It is often possible to use \code{sqlTables} to list the available catalogs or schemas: see its help page for the driver-specific details. \pkg{RODBC} usually works with tables in the current schema, but unless the connection was opened with \code{interpretDot = FALSE} most functions will attempt to interpret the `dotted name' notation. The interpretation depends on the DBMS: the SQL-92 meaning is \code{\var{schema}.\var{table}} and this is accepted by PostgreSQL, Microsoft SQL Server, Oracle, DB2 and Mimer. However, MySQL uses \code{\var{database}.\var{table}}, and the functions try\footnote{currerntly this is stymied by bugs in the ODBC driver, so \code{SQLColumns} is unable to report on tables in specified databases.} that interpretation if they recognize a MySQL driver. Some DBMSs allow more than two components, but these are not currently supported by the \pkg{RODBC} functions. Functions \code{sqlTables}, \code{sqlColumns} and \code{sqlPrimaryKeys} have arguments \code{catalog} and \code{schema} which in principle allow tables in other schemas to be listed or examined: however these are only partially implemented in many current ODBC drivers. See the help page for \code{sqlTables} for some further details. For other uses, the trick is to select the schema(s) you want to use, which is done \emph{via} an SQL statement sent by \code{sqlQuery}. For Oracle you can set the default schema (owner) by \begin{example} \code{ALTER SESSION SET CURRENT\_SCHEMA = \var{schema}} \end{example} % http://sqlzoo.net/howto/source/z.dir/tip988922/oracle whereas for PostgreSQL the search path can be changed \emph{via} \begin{example} \code{SET search\_path TO \var{schema1},\var{schema2}}. \end{example} % see also https://stat.ethz.ch/pipermail/r-help/2008-May/161304.html In DB2, creating an alias in the current schema can be used to access tables in other schemas, and a \code{CURRENT SCHEMA} query can be used to change the current schema. In MySQL and Microsoft SQL Server a database can be selected by a \code{USE \var{database}} query. \section{Internationalization Issues} Internationalization issues are made more complex by ODBC being a client-server system, and the ODBC client (\pkg{RODBC}) and the server may be running on different machines with different OSes on different continents. So the client may need some help. In most cases numeric data are transferred to and from R in binary form, so the representation of the decimal point is not an issue. But in some cases it could be (e.g.{} decimal rather than binary SQL data types will be transferred as character strings) and then the decimal point to be used will be taken from \code{options("dec")}: if unset this is set when \pkg{RODBC} is loaded from the setting of the current locale on the machine running R (\emph{via} \code{Sys.localeconv}). Some ODBC drivers (e.g.{} for Microsoft SQL Server, Oracle) allow the locale (`NLS') to be used for numeric values to be selected for the connection. The other internationalization issue is the character encoding used. When R and the DBMS are running on the same machine this is unlikely to be an issue, and in many cases the ODBC driver has some options to translate character sets. SQL is an ANSI (US) standard, and DBMSs tended to assume that character data was ASCII or perhaps 8-bit. More recently DBMSs have started to (optionally or by default) to store data in Unicode, which unfortunately means UCS-2 on Windows and UTF-8 elsewhere. So cross-OS solutions are not guaranteed to work, but most do. Encoding issues are best resolved in the ODBC driver or in DBMS settings. In the unusual case that this cannot be done, the \code{DBMSencoding} argument to \code{odbcDriverConnect} allows for recoding when sending data to or from the ODBC driver and thence the DBMS. \section{Excel Drivers} The Microsoft Excel ODBC drivers (Windows only) have a number of peculiarities which mean that it should be used with care. It seems that their concept of a `table' is principally a \emph{named range}. They treat worksheets as system tables, and append a dollar to their name (making then non-standard SQL table names: the quoting convention used is to enclose such names in square brackets). Column names are taken as the first row of the named range/worksheet. Non-standard SQL names are allowed here too, but the driver maps \code{.} to \code{\#} in column names. Annoyingly, \code{sqlTables} is allowed to select named ranges only by \code{tableType = "TABLE"} but not to select only worksheets. There are at least two known problems with reading columns that do not have a format set \emph{before} data entry, and so start with format \sQuote{General}. First, the driver uses the first few rows to determined the column type, and is over-fond of declaring \sQuote{Numeric} even when there are non-numeric entries. The default number of rows consulted is 8, but attempts to change this in the DSN setup are ignored. Second, if a column is declared as \sQuote{Text}, numeric entries will be read as SQL nulls and hence R \code{NA}s. Unfortunately, in neither case does reformatting the column help. % http://support.microsoft.com/kb/141284 The connection is by default read-only. It is possible to de-select this in the DSN (and the convenience wrapper \code{odbcConnectExcel} has a \code{readOnly = FALSE} argument to do so), but this does not support deletion, including SQL \code{DROP}, \code{DELETE}, \code{UPDATE} and \code{ALTER} statements). In particular, \code{\link{sqlDrop}} will remove the data in a worksheet but not the worksheet itself. % http://publib.boulder.ibm.com/infocenter/db2luw/v8/index.jsp?topic=/com.ibm.db2.ii.doc/opt/tlsodb13.htm % http://www.stata.com/support/faqs/data/odbc_excel.html The driver does allow a worksheet to be updated by \code{sqlUpdate}, and for a new worksheet (with a different name from existing worksheets) to be created by \code{sqlSave} (which also creates a named range). As far as we know, no similar issues affect the Actual Technologies macOS Excel driver: however, it allows only read-only access to Excel files and does not support Excel 2007-and-later \code{.xlsx} files. \section{DBMS-specific tidbits} This section covers some useful DBMS-specific SQL commands and other useful details. Recent versions of several DBMSs have a schema \code{INFORMATION\_SCHEMA} that holds many predefined system views. These include MySQL (the name of a database, mainly populated beginning with MySQL~5.1), Microsoft SQL Server and Mimer. \subsection*{MySQL} Comments about MySQL are mostly applicable to its forks such as MariaDB. We have already mentioned \code{USE \var{database}} as the way to change the database in use. \code{SHOW DATABASES} lists the databases `for which you have some kind of privilege', and can have a \code{LIKE} clause to restrict the result to some pattern of database names. % MySQL 5.1 manual 12.3 The \code{DESCRIBE \var{table}} command is a compact way to get a description of a table or view, similar to the most useful parts of the result of a call to \code{sqlColumns}. (It is also known as \code{SHOW COLUMNS FROM \var{table}}.) \code{SHOW TABLES} is the command to produce a table of the tables/views on the current database, similar to \code{sqlTables}. For example, \begin{example} > sqlQuery(channel, "USE ripley") [1] "No Data" > sqlQuery(channel, "SHOW TABLES") Tables_in_ripley 1 USArrests > sqlQuery(channel, "DESCRIBE USArrests") Field Type Null Key Default Extra 1 State varchar(255) NO PRI NA NA 2 Murder double YES NA NA 3 Assault int(11) YES NA NA 4 UrbanPop int(11) YES NA NA 5 Rape double YES NA NA \end{example} \noindent \code{SHOW FULL TABLES} gives an additional additional column \code{Table\_type}, the types of the tables/views. There is useful information for end users in the \code{INFORMATION\_SCHEMA} \emph{database}, much more extensively as from MySQL~5.1. Some of the non-standard behaviour can be turned off, e.g.{} starting MySQL with \code{--sql-mode=ANSI} gives closer conformance to the standard, and this can be set for a single session by \begin{example} SET SESSION sql\_mode='ANSI' \end{example} To change just the behaviour of quotes (to use double quotes in place of backticks) replace \code{ANSI} by \code{ANSI\_QUOTE}. % manual section 10.4 The maximum size of a \code{char} column is 255 characters. That of a \code{varchar} column is up to 65535 characters (but there is a limit of 65535 bytes on the total size of a row), and those with a maximum of 255 or less are stored more efficiently. Types \code{text}, \code{mediumtext} and \code{longtext} can hold more, and are not subject to the row-size limit (\code{text} has default maximum size 65535, the default \pkg{RODBC} limit on transfers). There are \code{binary}, \code{varbinary} and \code{blob} types which are very similar to their character counterparts but with lengths in bytes. \subsection*{PostgreSQL} Table \code{pg\_tables} lists all tables in all schemas; you probably want to filter on \code{tableowner='\var{current\_user}'}, e.g.{} \begin{smallexample} > sqlQuery(channel, "select * from pg_tables where tableowner='ripley'") schemaname tablename tableowner tablespace hasindexes hasrules hastriggers 1 public dtest ripley NA 0 0 0 \end{smallexample} There are both ANSI and Unicode versions of the ODBC driver on Windows: they provide many customizations. One of these is read-only access, another is if system tables are reported by \code{sqlTables}. % manual chapter 8 The default size of a \code{varchar} column is unlimited, but those with maximum length of 126 bytes or less are stored more efficiently. However, the ODBC interface has limits, which can be set in the configuration options. These include the maximum sizes for \code{varchar} (default 254) and \code{longvarchar} (default 8190), and how to handle unknown column sizes (default as the maximum), and whether `Text' is taken as \code{varchar} or \code{longvarchar} (which affects the reported maximum size for a \code{varchar} column). There is a single binary data type, \code{bytea}. \subsection*{SQLite} These comments are only about SQLite~3.x. Table \code{sqlite\_master} lists tables and indices, and the \code{sql} column gives the SQL command used. E.g.{} \begin{example} > tmp <- sqlQuery(channel, "select * from sqlite_master") > tmp[, "sql"] <- substr(tmp[, "sql"], 1, 16) > tmp type name tbl_name rootpage sql 1 table USArrests USArrests 2 CREATE TABLE "US 2 index sqlite_autoindex_USArrests_1 USArrests 4 \end{example} My current versions of Christian Werner's SQLite~ODBC driver store character data in the current locale's charset (e.g.{} UTF-8) on Unix-alikes and by default in Unicode (UCS-2) on Windows (unless de-selected in the DSN configuration). The default collation for text data is byte-by-byte comparisons, so avoid comparing non-ASCII character data in SQLite. Actual Technologies sell an SQLite driver for macOS which requires \code{believeNRows = FALSE} and has a number of other issues including that it seems not to support dropping tables. (Christian Werner's SQLite~ODBC driver was easy to install from the sources and worked correctly.) Version of the SQLite~ODBC driver since 0.87 have segfaulted on the test suite. \subsection*{Oracle} Tables \code{cat}, \code{user\_table} and \code{user\_catalog} contain useful information on tables. Information on columns is in \code{all\_tab\_columns}, e.g.{} \begin{example} > sqlQuery(channel, "select * from all\_tab\_columns where table_name='USArrests'") OWNER TABLE_NAME COLUMN_NAME DATA_TYPE DATA_TYPE_MOD 1 RIPLEY USArrests State VARCHAR2 NA 2 RIPLEY USArrests Murder FLOAT NA 3 RIPLEY USArrests Assault NUMBER NA 4 RIPLEY USArrests UrbanPop NUMBER NA 5 RIPLEY USArrests Rape FLOAT NA ... \end{example} The Windows ODBC driver we tested had an option for a read-only connection. % SQL Language Reference Manual chapter 2 Oracle's character data types are \code{CHAR}, \code{VARCHAR2} (character set specified when the database was created) and \code{NCHAR}, \code{NVARCHAR2} (Unicode), as well as \code{CLOB} and \code{NCLOB} for large character strings. For the non-Unicode types the units of length are either bytes or charactor (set as a default for the database) but can be overriden by adding a \code{BYTE} or \code{CHAR} qualifier. The limits are 4000 bytes apart from for \code{CLOB} and \code{NCLOB}, which have very high limits. There are \code{RAW} and \code{BLOB} data types. \subsection*{DB2} %http://publib.boulder.ibm.com/infocenter/db2luw/v9r7/index.jsp Schema \code{syscat} contains many views with information about tables: for example view \code{syscat.tables} lists all tables, and \begin{example} > sqlQuery(channel, "select * from syscat.columns where tabname='USArrests'") TABSCHEMA TABNAME COLNAME COLNO TYPESCHEMA TYPENAME LENGTH SCALE 1 RIPLEY USArrests State 0 SYSIBM VARCHAR 255 0 2 RIPLEY USArrests Murder 1 SYSIBM DOUBLE 8 0 3 RIPLEY USArrests Assault 2 SYSIBM INTEGER 4 0 4 RIPLEY USArrests UrbanPop 3 SYSIBM INTEGER 4 0 5 RIPLEY USArrests Rape 4 SYSIBM DOUBLE 8 0 ... \end{example} %http://publib.boulder.ibm.com/infocenter/db2luw/v9r7/index.jsp?topic=/com.ibm.db2.luw.sql.ref.doc/doc/r0008483.html The \code{CHAR} type can have size up to 254 bytes: the maximum size of the \code{VARCHAR} type is 32762 bytes. For larger character strings there is the \code{CLOB} type (up to 2Gb). These types can be used to store data in a MBCS, including various Unicode encodings. There are corresponding \code{BINARY}, \code{VARBINARY} and \code{BLOB} data types. \subsection*{Microsoft SQL Server} There are several hundred views in schemas \code{INFORMATION\_SCHEMA} and \code{sys} which will be listed by \code{sqlTables} and also by the stored procedure \code{sp\_tables}. Another way to list tables is \begin{example} SELECT * FROM sysobjects WHERE xtype='U' \end{example} where the condition restricts to user tables. \code{USE \var{database}} changes the database in use. % http://msdn.microsoft.com/en-us/library/ms187752.aspx Types \code{char} and \code{varchar} have a maximum specified size of 8000 bytes. It is possible to use \code{varchar(max)} (previously known as \code{text}) for a limit of 2Gb, but this may not work well with the ODBC interface. The Unicode types \code{nchar} and \code{nvarchar} have a maximum specified size of 4000 characters: again there is \code{nvarchar(max)} (formerly \code{ntext}). There are corresponding \code{binary} and \code{varbinary} data types (with \code{image} as an earlier name for \code{varbinary(max)}). \subsection*{Mimer} There are tens of views in schema \code{INFORMATION\_SCHEMA} which can be read by SQL \code{SELECT} queries of the form \begin{example} SELECT \var{column-list} FROM INFORMATION_SCHEMA.\var{view-name} WHERE \var{condition} \end{example} See the Mimer SQL Reference Manual chapter on Data Dictionary views for full details: two views are \code{TABLES} and \code{VIEWS}. A session can be set to be read-only by the SQL command \code{SET SESSION READ ONLY}. Mimer uses Latin-1 for its default character types but Unicode types (\code{NCHAR} and \code{NVARCHAR}) are also available. Unsurprisingly given that the company is Swedish, different collations are allowed for both Latin-1 and Unicode character types. % reference manual chapter 6 The \code{char} and \code{varchar} columns have a maximum size of 15000 bytes: the \code{clob} data type is available for larger character columns. The \code{nchar} and \code{nvarchar} columns have a maximum size of 5000 characters: the \code{nclob} data type is available for larger Unicode columns. There are corresponding \code{binary}, \code{varbinary} and \code{blob} binary data types. \newpage \appendix \section{Installation} \pkg{RODBC} is simple to install, and binary distributions are available for Windows from CRAN, and sometimes for macOS. To install from the sources, an \emph{ODBC Driver Manager} is required. Windows normally comes with one (it is part of MDAC and can be installed separately if required). macOS from 10.2 to 10.8 shipped with \code{iODBC} (\url{http://www.iodbc.org}, this is also available for other Unix-alikes) but from 10.9 the headers are no longer included in the macOS SDK, but the libraries are still part of the OS. For other systems the driver manager of choice is likely to be \code{unixODBC}, part of almost all Linux distributions and with sources downloadable from \url{http://www.unixODBC.org}. In Linux binary distributions it is likely that package \code{unixODBC-devel} or \code{unixodbc-dev} or some such will be needed. Both \code{unixODBC} and \code{iODBC} can be installed from the sources under macOS: they need ODBC drivers compiled for the driver manager in use. At least for macOS 10.9--15 and 11, all that is required for \code{iODBC} is to unpack the sources and use their headers by something like \begin{example} ODBC_INCLUDE=/path/to/libiodbc-srcs/include R CMD INSTALL RODBC \end{example} \noindent The \code{iODBC} sources used by Apple can be found at \url{https://opensource.apple.com}, so for example one could use \begin{example} curl -OL https://opensource.apple.com/tarballs/iodbc/iodbc-42.6.tar.gz tar xf iodbc-42.6.tar.gz ODBC_INCLUDE=/path/to/iodbc-42.6/iodbc/include R CMD INSTALL RODBC \end{example} In most cases the package's \code{configure} script will find the driver manager files, and the package will install with no extra settings. However, if further information is required, use \code{--with-odbc-include} and \code{--with-odbc-lib} or environment variables \code{ODBC\_INCLUDE} and \code{ODBC\_LIBS} to set the include and library paths as needed. A specific ODBC driver manager can be specified by the \code{--with-odbc-manager} \code{configure} option, with likely values \code{odbc} or \code{iodbc}: if this is done for \code{odbc} and the program \code{odbc\_config} is found, it is used to set the libpath as a last resort (it is often wrong), and to add any additional \code{CFLAGS}. \subsection*{Sources of drivers} Keeping track of ODBC drivers is a never-ending task, and this section is no longer actively maintained. URIs are liable to move or disappear. A list of drivers for \code{unixODBC} is maintained\footnote{that the author works for Easysoft is conspicuous.} at \url{https://www.unixodbc.org/drivers.html}. \code{unixODBC} ships with a number of drivers (although in most cases the DBMS vendor's driver is preferred)---these include for MySQL, PostgreSQL, Mimer and flat files. MySQL provides drivers under the name `Connector/ODBC' (formerly MyODBC') in source form, and binaries for all common 32-bit and most 64-bit R platforms. These are said to work also with MariaDB. PostgreSQL has an associated project at \url{http://pgfoundry.org/projects/psqlodbc/} and another project for at \url{http://pgfoundry.org/projects/odbcng/}. (Documentation for \code{psqlodbc} is currently hard to find, but there is some in the PostgreSQL 7.2 manual at \url{http://www.postgresql.org/docs/7.2/static/odbc.html} from before it was unbundled.) There are drivers for Unix-alikes and Windows -- 64-bit Windows support is available as from PostgreSQL 9.0. An SQLite ODBC driver for Unix-alikes, including macOS, and (32- and 64-bit) Windows is available from \url{http://www.ch-werner.de/sqliteodbc/}. Oracle provides ODBC drivers as a supplement to its `Instant Client' for some of its platforms (including 32/64-bit Windows, macOS and Linux). See \url{https://www.oracle.com/technetwork/database/features/instant-client/index-097480.html} %\url{http://www.oracle.com/technology/software/tech/oci/instantclient/}. One quirk of the Windows drivers is that the Oracle binaries must be in the path, so \code{PATH} should include e.g.{} \verb|c:\Oracle\bin|. For IBM's DB2, search its site for drivers for `ODBC and CLI'. There are some notes about using this under Linux at \url{https://www.unixodbc.org/doc/db2.html}. % http://developer.mimer.se/odbc/ Mimer (\url{www.mimer.com}) is a cross-platform DBMS with integral ODBC support, so \begin{quote} `The Mimer SQL setup process automatically installs an ODBC driver when the Mimer SQL client is installed on any Windows or UNIX platform.' \end{quote} The `HowTos' at \url{http://developer.mimer.se/howto/index.tml} provide some useful hints. Some details of the 32-bit Microsoft `ODBC Desktop Database Drivers' (for Access, Excel, Paradox, dBase and text files on Windows) can be found at \url{https://msdn.microsoft.com/en-us/library/ms709326%28VS.85%29.aspx}. There is also a Visual FoxPro driver and an (outdated) Oracle driver. 32-bit Windows drivers for Access 2007 and Excel 2007 are bundled with Office 2007 but can be installed separately \emph{via} the installer \code{AccessDatabaseEngine.exe} available from %\url{http://www.microsoft.com/downloads/details.aspx?FamilyID=7554f536-8c28-4598-9b72-ef94e038c891&DisplayLang=en}. \url{https://www.microsoft.com/en-us/download/details.aspx?id=23734}. The Access/Excel 2010 versions at %\url{http://www.microsoft.com/downloads/details.aspx?familyid=C06B8369-60DD-4B64-A44B-84B371EDE16D&displaylang=en} \url{https://www.microsoft.com/en-us/download/details.aspx?id=13255} have a 64-bit version: however the 64-bit drivers cannot be installed alongside 32-bit versions of Office (as far as we know, and definitely not for Office 2007). For recent versions of macOS, low-cost and easy-to-use \code{iODBC} drivers are available from \url{https://www.actualtech.com/products.php}: these cover MySQL/PostgreSQL/SQLite (one driver), SQL Server/Sybase, Oracle, and a read-only driver for Access and related formats (including Access 2007 and Excel, but not Excel 2007). That SQLite driver needs \code{believeNRows = FALSE} set. Currently at least, installing those drivers on 10.9 installs \code{iODBC}. macOS drivers for MySQL, PostgreSQL and the major commercial databases are available from \url{http://uda.openlinksw.com/}. \subsection*{Specifying ODBC drivers} The next step is to specify the ODBC drivers to be used for specific DBMSs. On Windows installing the drivers will register them automatically. This might happen as part of the installation on other systems, but usually does not. Both \code{unixODBC} and \code{iODBC} store information on drivers in configuration files, normally system-wide in \code{/etc/odbcinst.ini} and per-user in \verb|~/.odbcinst.ini|. However, the system location can vary, and on systems with \code{unixODBC} can be found by at the Unix command line by one of \begin{example} \$ odbcinst -j \$ odbc\_config --odbcinstini \end{example} For \code{iODBC} use \code{iodbc\_config}: on macOS the system location used by Apple was \code{/Library/ODBC/odbcinst.ini}. \begin{figure} \begin{example} \$ cat /etc/odbcinst.ini [MySQL] Description = ODBC 3.51.26 for MySQL Driver = /usr/lib64/libmyodbc3.so FileUsage = 1 [MySQL ODBC 5.1 Driver] Description = ODBC 5.1.05 for MySQL Driver = /usr/lib64/libmyodbc5.so UsageCount = 1 [PostgreSQL] Description = ODBC for PostgreSQL Driver = /usr/lib64/psqlodbc.so FileUsage = 1 [sqlite3] Description = sqliteodbc Driver = /usr/local/lib64/libsqlite3odbc.so Setup = /usr/local/lib64/libsqlite3odbc.so FileUsage = 1 \end{example} \caption{A system ODBC driver file from a \code{x86\_64} Fedora 10 Linux system using \code{unixODBC}.} \label{fig:odbc1} \end{figure} The format can be seen from figure~\ref{fig:odbc1}. (\code{unixODBC} allows \code{Driver64} here to allow for different paths on 32-bit and 64-bit platforms sharing a file system.) The MySQL and PostgreSQL drivers were installed from the Fedora RPMs \code{mysql-connector-odbc} and \code{postgresql-odbc}, and also from the \code{mysql-connector-odbc} RPM in the MySQL distribution (which inserted the entry in the driver file). The MySQL manual gives detailed information (including screenshots) of installing its drivers and setting up DSNs that may also be informative to users of other DBMSs. \clearpage \section{Specifying DSNs} The ODBC driver managers have `User DSNs' and `System DSNs': these differ only in where the information is stored, the first on a per-user basis and the second for all users of the system. Windows has a GUI\footnote{Extra care is needed on a 64-bit version of Windows, as this GUI shows only 64-bit settings for ODBC, including drivers and DSNs. If you are running 32-bit R (and hence 32-bit ODBC) on 64-bit Windows, you need the 32-bit version of the GUI at something like \texttt{c:\textbackslash{}Windows\textbackslash{}SysWOW64\textbackslash{}odbcad32.exe} -- and beware that both 32- and 64-bit versions are called \texttt{odbcad32.exe}.} to set up DSNs, called something like `Data Sources (ODBC)' under `Administrative Tools' in the Control Panel. You can add, remove and edit (`configure') DSNs there (see figure~2). When adding a DSN, first select the ODBC driver and then complete the driver-specific dialog box. There will usually be an option to test the DSN and it is wise to do so. \begin{figure} \centerline{\includegraphics[width=12cm]{winDSN1}} \bigbreak \centerline{\includegraphics[width=10cm]{winDSN2}} \caption{(Top) The main Data Sources (ODBC) dialog box from a Windows XP system. (Bottom) The dialog box to select a driver that comes up when the \textsf{Add} button is clicked.} \label{fig:1} \end{figure} If \texttt{Rgui} is to be used on Windows, incomplete DSNs can be created and the dialog box will be brought up for completion when \code{odbcConnect} is called---this can be helpful to avoid storing passwords in the Windows Registry or to allow alternate users or databases. On that platform, calling \code{odbcDriverConnect()} with no arguments will bring up the main ODBC Data Sources dialog box to allow a DSN to be constructed on the fly. macOS prior to 10.6 came with a very similar GUI (figure~3) found at \textsf{Applications / Utilities / ODBC Administrator}. This has been available as a download from \url{https://support.apple.com/kb/DL895}. Another GUI for macOS is available from \url{http://www.odbcmanager.net/index.php}. \begin{figure} \centerline{\includegraphics[width=12cm]{macODBC}} \bigbreak \centerline{\includegraphics[width=12cm]{macAccess}} \caption{(Top) The main ODBC Administrator dialog box from a macOS 10.5 system. (Bottom) A page of the dialog box to specify a DSN for the Actual Technologies Access/Excel driver.} \label{fig:1b} \end{figure} % Both \code{unixODBC} and \code{iODBC} provide GUIs (which might be % packaged separately in binary distributions) to create DSNs, and % \code{iODBC} also has a web-grounded DSN administrator. UnixODBC's GUI % is currently called \texttt{ODBCConfig} (see figure~4), and there is a % KDE control widget called \texttt{DataManager} to manage both ODBC % drivers and DSNs. See the \code{unixODBC} user manual at % \url{http://www.unixodbc.org/doc/UserManual/}. (On Fedora these are in % the \code{unixODBC-kde} RPM. It has been announced that they will % become separate projects after \code{unixODBC 2.2.14}.) \begin{figure} \centerline{\includegraphics[width=12cm]{linuxDSN}} \bigbreak \centerline{\includegraphics[width=12cm]{linuxDSNsqlite}} \caption{The dialog box of \code{ODBCconfig} on Fedora 10 Linux, and the \textsf{Configure} screen for the SQLite driver.} \label{fig:2} \end{figure} On Unix-alikes DSNs can also be specified in files (and the graphical tools just manipulate these files). The system-wide file is usually \code{/etc/odbc.ini} and the per-user file\footnote{\texttt{\textasciitilde/Library/ODBC/odbc.ini} on Mac OS X.} \verb|~/.odbc.ini|. Some examples of the format are shown figure~\ref{fig:odbc2}. \begin{figure} \begin{example} [test_mysql] Description = test MySQL Driver = MySQL Trace = No Server = localhost Port = 3306 Database = test [test_mysql5] Description = myodbc5 Driver = MySQL ODBC 5.1 Driver Server = gannet Port = 3306 Database = ripley [test_pg] Description = test PostgreSQL Driver = PostgreSQL Trace = No TraceFile = ServerName = localhost UserName = ripley Port = 5432 Socket = Database = testdb ReadOnly = 0 [test_sqlite3] Description = test SQLite3 Driver = sqlite3 Database = /tmp/mysqlite3.db \end{example} \caption{A personal (\texttt{\textasciitilde/.odbc.ini}) file from a Fedora 10 Linux system using \code{unixODBC}.} \label{fig:odbc2} \end{figure} What fields are supported is driver-specific (and it can be hard to find documentation). There is no clear distinction between fields that specify the driver and those which specify the DSN, so any parts of the driver specification which might differ between connections can be used in the DSN file. Things that are often set here are if the connection is read-only (\code{test\_pg} is \emph{not} readonly) and the character encoding to be used. Command-line programs \code{isql} (\code{unixODBC}) and \code{iodbctest} (\code{iODBC}) can be used to test a DSN that has been created manually in a file. The formats are \begin{example} \$ isql -v \var{dsn} \var{db_username} \var{db_password} \$ iodbctest \end{example} Both give a command-line SQL interface: use \code{quit} to terminate. \begin{figure} \includegraphics[width=6cm]{Access} \quad \includegraphics[width=6cm]{MySQL} \bigbreak \includegraphics[width=6cm]{Oracle} \quad \includegraphics[width=6cm]{SQLserver} \caption{Parts of the ODBC driver configuration screens on Windows XP for Microsoft Access, MySQL Connector/ODBC 5.1, Oracle's ODBC driver and Microsoft SQL Server.} \label{fig:3} \end{figure} \clearpage \section{Internals} The appendix is in part an \emph{aide memoire} for the maintainer, but may interest the curious user. RODBC connection objects are an integer with several attributes: they are numbered consecutively in the current session. For example \begin{smallexample} > channel <- odbcConnect("test") > unclass(channel) [1] 1 attr(,"connection.string") [1] "DATABASE=ripley;DESCRIPTION=myodbc;DSN=test;OPTION=0;PORT=3306;SERVER=localhost;" attr(,"handle\_ptr") attr(,"case") [1] "nochange" attr(,"id") [1] 11371 attr(,"believeNRows") [1] TRUE attr(,"colQuote") [1] "`" attr(,"tabQuote") [1] "`" attr(,"encoding") [1] "" attr(,"rows\_at\_time") [1] 100 attr(,"isMySQL") [1] FALSE \end{smallexample} Most of the attributes record the arguments of \code{odbcDriverConnect}. The \code{"connection.string"} attribute is as returned by \code{SQLDriverConnect} and list driver-specific parameters separated (and perhaps terminated) by a semicolon. The \code{"id"} attribute is a random integer used for integrity checks (and in particular to reject connection objects should they be saved and restored in a different session). The \code{"isMySQL"} attribute is used both to select the default quote character and the interpretation of \code{qualifier.table} names. The main structure of the connection is kept as a C \code{struct}, a pointer to which is passed around as the R external pointer \code{"handle\_ptr"}. This has a finalizer that will close the connection when there is no longer an R object referring to it (including at the end of the R session), with a warning unless the connection has already been closed by \code{close} or \code{odbcClose}. In addition, a C-level table keeps the pointers of the first 1000 connections of an R session, to enable \code{odbcCloseAll} to close them. The \code{struct} is currently defined as \begin{smallexample} typedef struct rodbcHandle \{ SQLHDBC hDbc; /* connection handle */ SQLHSTMT hStmt; /* statement handle */ SQLLEN nRows; /* number of rows and columns in result set */ SQLSMALLINT nColumns; int channel; /* as stored on the R-level object */ int id; /* ditto */ int useNRows; /* value of believeNRows */ /* entries used to bind data for result sets and updates */ COLUMNS *ColData; int nAllocated; SQLUINTEGER rowsFetched; /* use to indicate the number of rows fetched */ SQLUINTEGER rowArraySize; /* use to indicate the number of rows we expect back */ SQLUINTEGER rowsUsed; /* for when we fetch more than we need */ SQLMSG *msglist; /* root of linked list of messages */ SEXP extPtr; /* the external pointer address */ \} RODBCHandle, *pRODBCHandle; \end{smallexample} Most ODBC operations work by sending a query, explicitly or implicitly via e.g.{} \code{sqlColumns}, and this creates a \emph{result set} which is transferred to an R data frame by \code{sqlGetResults}. \code{nRows} and \code{nCols} indicate the size of the pending result set, with \code{nCols = -1} used if there are no pending results. ODBC works with various \emph{handles}. There is a \code{SQLHENV} handle for the environment that \code{RODBC} opens when a connection is first opened or DSNs are listed---its main use is to request ODBC~3 semantics. Then each connection has a \code{SQLHDBC} handle, and each query (statement) a \code{SQLHSTMT} handle. Argument \code{literal=TRUE} of \code{sqlTables} and \code{sqlColumns} is used to set the \verb}SQL_ATTR_METADATA_ID} attribute of the statement handle to be true. All the functions\footnote{ \code{odbcQuery}, \code{sqlColumns}, \code{sqlPrimaryKeys}, \code{sqlTables} and \code{sqlTypeInfo}.} that create a result set call C function \code{cachenbind}. This allocates buffers under the \code{colData} pointer and binds the result set to them by \code{SQLBindCol}. Then when \code{sqlGetResults} calls the C function \code{SQLFetch} or \code{SQLFetchScroll} the results for one or more (up to \code{MAX\_ROWS\_FETCH = 1024}) rows are loaded into the buffers and then copied into R vectors. Prior to \pkg{RODBC} 1.3-0 the default was to fetch a row at a time, but it is now to fetch up to 100 rows at a time. Entries \code{rowsArraySize} and \code{rowsFetched} are used to indicate how many rows were requested and how many were available. Since e.g.{} \code{sqlFetch} allows a maximum number of rows to be returned in the data frame, \code{rowsUsed} indicates how many of the rows last fetched have so far been returned to R. The buffers are part of the \code{ColData} entry, which is an array of \code{COLUMNS} structures, one of each column in the result set. These have the form \begin{smallexample} typedef struct cols \{ SQLCHAR ColName[256]; SQLSMALLINT NameLength; SQLSMALLINT DataType; SQLULEN ColSize; SQLSMALLINT DecimalDigits; SQLSMALLINT Nullable; char *pData; int datalen; SQLDOUBLE RData [MAX\_ROWS\_FETCH]; SQLREAL R4Data[MAX\_ROWS\_FETCH]; SQLINTEGER IData [MAX\_ROWS\_FETCH]; SQLSMALLINT I2Data[MAX\_ROWS\_FETCH]; SQLLEN IndPtr[MAX\_ROWS\_FETCH]; \} COLUMNS; \end{smallexample} The first six entries are returned by a call to \code{SQLDescribeCol}: \code{DataType} is used to select the buffer to use. There are separate buffers for double-precision, single-precision, 32-bit and 16-bit integer and character/byte data. When character/data buffers are allocated, \code{datalen} records the length allocated per row (which is based on the value returned as \code{ColSize}). The \code{IndPtr} value is used to record the actual size of the item in the current row for variable length character and binary types, and for all nullable types the special value \code{SQL\_NULL\_DATA} (-1) indicates an SQL null value. The other main C-level operation is to send data to the ODBC driver for \code{sqlSave} and \code{sqlUpdate}. These use \code{INSERT INTO} and \code{UPDATE} queries respectively, and for \code{fast = TRUE} use parametrized queries. So we have the queries (split across lines for display) \begin{smallexample} > sqlSave(channel, USArrests, rownames = "State", addPK = TRUE, verbose = TRUE) Query: CREATE TABLE "USArrests" ("State" varchar(255) NOT NULL PRIMARY KEY, "Murder" double, "Assault" integer, "UrbanPop" integer, "Rape" double) Query: INSERT INTO "USArrests" ( "State", "Murder", "Assault", "UrbanPop", "Rape" ) VALUES ( ?,?,?,?,? ) Binding: 'State' DataType 12, ColSize 255 Binding: 'Murder' DataType 8, ColSize 15 Binding: 'Assault' DataType 4, ColSize 10 Binding: 'UrbanPop' DataType 4, ColSize 10 Binding: 'Rape' DataType 8, ColSize 15 Parameters: ... > sqlUpdate(channel, foo, "USArrests", verbose=TRUE) Query: UPDATE "USArrests" SET "Assault"=? WHERE "State"=? Binding: 'Assault' DataType 4, ColSize 10 Binding: 'State' DataType 12, ColSize 255 Parameters: ... \end{smallexample} At C level, this works by calling \code{SQLPrepare} to record the insert/update query on the statement handle, then calling \code{SQLBindParameter} to bind a buffer for each column with values to be sent, and finally in a loop over rows copying the data into the buffer and calling \code{SQLExecute} on the statement handle. The same buffer structure is used as when retrieving result sets. The difference is that the arguments which were ouptuts from \code{SQLBindCol} and inputs to \code{SQLBindParameter}, so we need to use \code{sqlColumns} to retrieve the column characteristics of the table and pass these down to the C interface. \end{document} RODBC/inst/doc/RODBC.pdf0000644000176000001440000244175114120634134014215 0ustar ripleyusers%PDF-1.5 %ÐÔÅØ 87 0 obj << /Length 2679 /Filter /FlateDecode >> stream xÚXÝsÛ6Ï_¡·£f,˜¿ûtqdÚ‰ë4öÝ=´LÂÆ©TlßÜûR”#7Í‹ïÝÅîow/Ö‹xñáMüJ{qûæü½ª²Jféâö~¡ÒD¤I¶ÈËLTR-n›ÅoÑõåÅËU«èǾëL=Ø/vXªÞPD×O÷½kð2PüD¹p¨&?]À½3A²T¤ª Ì‘#Žÿéár/ú'¡k±g²R_ªC¦ˆU"…ÌÃ!7f7˜-²x·\Á¿q̩̃(j)£XIÖ.° cQÅ•ÄãV2O„ÊQ¿¹ÈËpâ'\×øÿ°Ì²H¯ oN«ùæT Y”À&múŒËémOÜ“¦"‘ɸÔnAlz‡2<0YÆ£U”2j€]=è;í Ôs3)á!Ê4ËUVfÑOï~Dñu8ªwvm;ݶÏaÒÙa0wîø2’2)ð‡O’hÄÛ•%¹7Ú´ M¸é£Þy4+è$Ñïqß LX®ddz·6ÿð$…§@ñb,c¹sYUM¼$ÑÝž$Q‘¾ÐhðˆñšÆz½Û±=igš97I¤âXÑ!*²Ad3g|½7é®ák¼íêpüWïYÓA®'x¢fÜs7©FŸI4>UðwXÖ«8ú7Zj¶ÇÇ椈W’ɉ?ì8Ó0¯†{6¬þY“Eîµ{æ31Ó8'!N¸€* !³ïu4< 0Òõ¸…yk4 f47[=ìasM”Yu¬Rn’F‹hÁf·Ú³x0³kõXµåPH¤(5ºŸq÷º¶Ýšg?s3ô¼¦9ø!Œúg@ãÅø*‰J™Ûî€õ4+h7¶WÚ?Ô îp× 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names(varspec) <- "x" sqlSave(channel, Atest, varTypes = varspec) sqlColumns(channel, "Atest") sqlFetch(channel, "Atest") sqlDrop(channel, "Atest") dates <- as.character(seq(as.Date("2004-01-01"), by="week", length.out=10)) times <- paste(1:10, "05", "00", sep=":") dt <- as.POSIXct(paste(dates, times)) Dtest <- data.frame(dates, times, dt, logi=c(TRUE, NA, FALSE, FALSE, FALSE)) varspec <- c("date", "time", "timestamp", "varchar(5)") names(varspec) <- names(Dtest) sqlSave(channel, Dtest, varTypes = varspec, verbose=TRUE) sqlColumns(channel, "Dtest") sqlFetch(channel, "Dtest") sqlDrop(channel, "Dtest") sqlDrop(channel, "hills test", errors = FALSE) sqlSave(channel, hills, "hills test", verbose=TRUE) sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=TRUE) sqlFetch(channel, "hills test") sqlDrop(channel, "hills test") sqlSave(channel, hills, "hills test", verbose=TRUE, fast=FALSE) sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=FALSE) sqlDrop(channel, "hills test") close(channel) # Access channel <- odbcConnect("testacc") odbcGetInfo(channel) sqlTypeInfo(channel) sqlTables(channel) sqlDrop(channel, "USArrests", errors = FALSE) sqlSave(channel, USArrests) sqlTables(channel) sqlColumns(channel, "USArrests") sqlFetch(channel, "USArrests") query <- paste("select rownames, murder from USArrests", "where Rape > 30", "order by Murder") sqlQuery(channel, query) sqlCopy(channel, query, "HighRape", rownames = FALSE) sqlFetch(channel, "HighRape", max = 5) sqlTables(channel) sqlDrop(channel, "HighRape") foo <- USArrests[1:3, 2, drop = FALSE] foo[1,1] <- 236 sqlUpdate(channel, foo, "USArrests") sqlFetch(channel, "USArrests", max = 5) sqlFetchMore(channel, max = 8) sqlDrop(channel, "USArrests") dates <- as.character(seq(as.Date("2004-01-01"), by="week", length.out=10)) Dtest <- data.frame(dates) sqlDrop(channel, "Dtest", errors = FALSE) varspec <- "DATETIME"; names(varspec) <- names(Dtest) sqlSave(channel, Dtest, varTypes = varspec, verbose=TRUE, fast=FALSE) # fast = TRUE crashes sqlColumns(channel, "Dtest") sqlFetch(channel, "Dtest") sqlDrop(channel, "Dtest") sqlDrop(channel, "hills test", errors = FALSE) sqlSave(channel, hills, "hills test", verbose=TRUE) sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=TRUE) sqlFetch(channel, "hills test") sqlDrop(channel, "hills test") sqlSave(channel, hills, "hills test", verbose=TRUE, fast=FALSE) sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=FALSE) sqlDrop(channel, "hills test") close(channel) # Excel channel <- odbcConnectExcel("hills.xls") ## list the spreadsheets and marked ranges sqlTables(channel) sqlColumns(channel, "hills") ## two ways to retrieve the contents of hills sqlFetch(channel, "hills") hills2 <- sqlQuery(channel, "select * from [hills$]") sqlFetch(channel, "testit") close(channel) # The Excel driver maps ' ' to '_'. channel <- odbcConnectExcel("/bdr/hills.xls", readOnly=FALSE) sqlSave(channel, hills, "hills_test", verbose=TRUE, fast=FALSE) sqlUpdate(channel, hills[11:15,], "hills_test", verbose=TRUE, fast=FALSE) sqlFetch(channel, "hills_test") sqlSave(channel, hills, "hills_test2", verbose=TRUE) sqlUpdate(channel, hills[11:15,], "hills_test2", verbose=TRUE) sqlFetch(channel, "hills_test2") close(channel) # DBase: maps table/column names to u/case, max length 8 dbf <- system.file("files", "sids.dbf", package="foreign") channel <- odbcConnectDbase(dbf) (sids <- sqlFetch(channel, "sids")) sqlUpdate(channel, sids[1:2, ], "sids", index="NAME", verbose=TRUE, fast=FALSE) close(channel) channel <- odbcConnectDbase(dbf, case="toupper") sqlSave(channel, hills, "HILLS 2", verbose=TRUE) sqlUpdate(channel, hills[11:15,], "HILLS 2", verbose=TRUE) sqlDrop(channel, "HILLS 2") close(channel) # SQL Server 2008 Express Edition channel <- odbcConnect("SQLServer") odbcGetInfo(channel) sqlTypeInfo(channel) sqlTables(channel) sqlDrop(channel, "USArrests", errors = FALSE) sqlSave(channel, USArrests, addPK = TRUE) sqlTables(channel) sqlColumns(channel, "USArrests") sqlPrimaryKeys(channel, "USArrests") sqlFetch(channel, "USArrests") query <- paste("select rownames, murder from USArrests", "where Rape > 30", "order by Murder") sqlQuery(channel, query) sqlCopy(channel, query, "HighRape", rownames = FALSE) sqlFetch(channel, "HighRape", max = 5) sqlTables(channel) sqlDrop(channel, "HighRape") foo <- USArrests[1:3, 2, drop = FALSE] foo[1,1] <- 236 sqlUpdate(channel, foo, "USArrests") sqlFetch(channel, "USArrests", max = 5) sqlFetchMore(channel, max = 8) sqlDrop(channel, "USArrests") dates <- as.character(seq(as.Date("2004-01-01"), by="week", length.out=10)) times <- paste(1:10, "05", "00", sep=":") Dtest <- data.frame(dates, times, logi=c(TRUE, NA, FALSE, FALSE, FALSE)) sqlDrop(channel, "Dtest", errors = FALSE) varspec <- c("smalldatetime", "smalldatetime", "varchar(5)") names(varspec) <- names(Dtest) # fast = TRUE fails, claims data is invalid sqlSave(channel, Dtest, varTypes = varspec, verbose=TRUE, fast=FALSE) sqlColumns(channel, "Dtest") sqlFetch(channel, "Dtest") # This retrieves TRUE as " TRUE" and so returns a factor. sqlDrop(channel, "Dtest") sqlDrop(channel, "hills test", errors = FALSE) sqlSave(channel, hills, "hills test", verbose=TRUE) sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=TRUE) sqlFetch(channel, "hills test") sqlDrop(channel, "hills test") sqlSave(channel, hills, "hills test", verbose=TRUE, fast=FALSE) sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=FALSE) sqlDrop(channel, "hills test") close(channel) # PostgreSQL 8.x on Windows channel <- odbcConnect("testpg") odbcGetInfo(channel) sqlTypeInfo(channel) sqlTables(channel) sqlDrop(channel, "USArrests", errors = FALSE) sqlSave(channel, USArrests, rownames = "state", addPK = TRUE) sqlTables(channel) sqlColumns(channel, "USArrests") sqlColumns(channel, "USArrests", special = TRUE) sqlPrimaryKeys(channel, "USArrests") sqlFetch(channel, "USArrests", rownames = "state") sqlQuery(channel, "select state, murder from USArrests where rape > 30 order by murder") foo <- cbind(state=row.names(USArrests), USArrests)[1:3, c(1,3)] foo[1,2] <- 236 sqlUpdate(channel, foo, "USArrests", index = "state") sqlFetch(channel, "USArrests", rownames = "state", max = 5) sqlFetchMore(channel, rownames = "state", max = 8) sqlDrop(channel, "USArrests") dates <- as.character(seq(as.Date("2004-01-01"), by="week", length.out=10)) times <- paste(1:10, "05", "00", sep=":") Dtest <- data.frame(dates, times, logi=c(TRUE, NA, FALSE, FALSE, FALSE)) sqlDrop(channel, "Dtest", errors = FALSE) varspec <- c("date", "time", "varchar(5)"); names(varspec) <- names(Dtest) sqlSave(channel, Dtest, varTypes = varspec, verbose=TRUE) sqlColumns(channel, "Dtest") sqlFetch(channel, "Dtest") sqlDrop(channel, "Dtest") sqlDrop(channel, "hills test", errors = FALSE) sqlSave(channel, hills, "hills test", verbose=TRUE) sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=TRUE) sqlFetch(channel, "hills test") sqlDrop(channel, "hills test") sqlSave(channel, hills, "hills test", verbose=TRUE, fast=FALSE) sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=FALSE) sqlDrop(channel, "hills test") Btest <- Atest <- data.frame(x = c(paste(1:100, collapse="+"), letters[2:4]), rn=1:4) Btest[,1] <- Atest[c(4,1:3),1] sqlDrop(channel, "Atest", errors = FALSE) # sqlSave(channel, Atest, addPK = TRUE) colspec <- list(character="text", double="double", integer="integer", logical="varchar(5)") sqlSave(channel, Atest, typeInfo = colspec) sqlColumns(channel, "Atest") sqlFetch(channel, "Atest") sqlUpdate(channel, Btest, "Atest", index = "rn") sqlFetch(channel, "Atest") sqlDrop(channel, "Atest") varspec <- "text"; names(varspec) <- "x" sqlSave(channel, Atest, varTypes = varspec) sqlColumns(channel, "Atest") sqlFetch(channel, "Atest") sqlDrop(channel, "Atest") close(channel) # SQLite 3.x.y channel <- odbcConnect("sqlite3") odbcGetInfo(channel) sqlTypeInfo(channel) sqlTables(channel) sqlDrop(channel, "USArrests", errors = FALSE) sqlSave(channel, USArrests) sqlTables(channel) sqlColumns(channel, "USArrests") sqlFetch(channel, "USArrests") sqlQuery(channel, "select rownames, Murder from USArrests where Rape > 30 order by Murder") foo <- USArrests[1:3, 2, drop = FALSE] foo[1,1] <- 236 sqlUpdate(channel, foo, "USArrests") sqlFetch(channel, "USArrests", max = 5) sqlFetchMore(channel, max = 8) sqlDrop(channel, "USArrests") sqlDrop(channel, "hills test", errors = FALSE) sqlSave(channel, hills, "hills test", verbose=TRUE) sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=TRUE) sqlFetch(channel, "hills test") sqlDrop(channel, "hills test") sqlSave(channel, hills, "hills test", verbose=TRUE, fast=FALSE) sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=FALSE) sqlDrop(channel, "hills test") dates <- as.character(seq(as.Date("2004-01-01"), by="week", length.out=10)) times <- paste(1:10, "05", "00", sep=":") dt <- paste(dates, times) Dtest <- data.frame(dates, times, dt, logi=c(TRUE, NA, FALSE, FALSE, FALSE)) sqlDrop(channel, "Dtest", errors = FALSE) varspec <- c("date", "time", "timestamp", "varchar(5)") names(varspec) <- names(Dtest) sqlSave(channel, Dtest, varTypes = varspec, fast=FALSE) # fast=TRUE fails sqlColumns(channel, "Dtest") sqlFetch(channel, "Dtest") # This retrieves TRUE as " TRUE" and so returns a factor. sqlDrop(channel, "Dtest") close(channel) ###--------------------------------------------------------------------- # MySQL on Unix channel <- odbcConnect("test") odbcGetInfo(channel) sqlTypeInfo(channel) sqlTables(channel) sqlDrop(channel, "USArrests", errors = FALSE) sqlSave(channel, USArrests, rownames = "State", addPK = TRUE) sqlTables(channel) sqlColumns(channel, "USArrests") sqlColumns(channel, "USArrests", special = TRUE) sqlPrimaryKeys(channel, "USArrests") sqlFetch(channel, "USArrests", rownames = "State") sqlQuery(channel, "select State, Murder from USArrests where Rape > 30 order by Murder") foo <- cbind(State=row.names(USArrests), USArrests)[1:3, c(1,3)] foo[1,2] <- 236 sqlUpdate(channel, foo, "USArrests") sqlFetch(channel, "USArrests", rownames = "State", max = 5) sqlDrop(channel, "USArrests") Btest <- Atest <- data.frame(x = c(paste(1:100, collapse="+"), letters[2:4]), rn=1:4) Btest[,1] <- Atest[c(4,1:3),1] sqlDrop(channel, "Atest", errors = FALSE) # sqlSave(channel, Atest, addPK = TRUE) colspec <- list(character="mediumtext", double="double", integer="integer", logical="varchar(5)") sqlSave(channel, Atest, typeInfo = colspec) sqlColumns(channel, "Atest") sqlFetch(channel, "Atest") sqlUpdate(channel, Btest, "Atest", index = "rn") sqlFetch(channel, "Atest") sqlDrop(channel, "Atest") varspec <- "mediumtext"; names(varspec) <- "x" sqlSave(channel, Atest, varTypes = varspec) sqlColumns(channel, "Atest") sqlFetch(channel, "Atest") sqlDrop(channel, "Atest") dates <- as.character(seq(as.Date("2004-01-01"), by="week", length.out=10)) times <- paste(1:10, "05", "00", sep=":") dt <- as.POSIXct(paste(dates, times)) Dtest <- data.frame(dates, times, dt, logi=c(TRUE, NA, FALSE, FALSE, FALSE)) sqlDrop(channel, "Dtest", errors = FALSE) varspec <- c("date", "time", "timestamp", "varchar(5)") names(varspec) <- names(Dtest) sqlDrop(channel, "Dtest", errors = FALSE) sqlSave(channel, Dtest, varTypes = varspec, verbose=TRUE) sqlColumns(channel, "Dtest") sqlFetch(channel, "Dtest") sqlDrop(channel, "Dtest") sqlDrop(channel, "hills test", errors = FALSE) sqlSave(channel, hills, "hills test", verbose=TRUE) sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=TRUE) sqlFetch(channel, "hills test") sqlDrop(channel, "hills test") sqlSave(channel, hills, "hills test", verbose=TRUE, fast=FALSE) sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=FALSE) sqlDrop(channel, "hills test") close(channel) # sqlite on Unix channel <- odbcConnect("sqlite3") odbcGetInfo(channel) sqlTypeInfo(channel) sqlTables(channel) sqlDrop(channel, "USArrests", errors = FALSE) sqlSave(channel, USArrests) sqlTables(channel) sqlColumns(channel, "USArrests") sqlFetch(channel, "USArrests") sqlQuery(channel, "select rownames, Murder from USArrests where Rape > 30 order by Murder") foo <- USArrests[1:3, 2, drop = FALSE] foo[1,1] <- 236 sqlUpdate(channel, foo, "USArrests") sqlFetch(channel, "USArrests", max = 5) sqlDrop(channel, "USArrests") sqlDrop(channel, "hills test", errors = FALSE) sqlSave(channel, hills, "hills test", verbose=TRUE) sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=TRUE) sqlFetch(channel, "hills test") sqlDrop(channel, "hills test") sqlSave(channel, hills, "hills test", verbose=TRUE, fast=FALSE) sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=FALSE) sqlDrop(channel, "hills test") A <- data.frame(a="«Latin-1 accented chars»: éè øØ å<Å æ<Æ") sqlDrop(channel, "A", errors = FALSE) sqlSave(channel, A, verbose=TRUE) sqlFetch(channel, "A") ## close the connection close(channel) # PostgreSQL on Unix channel <- odbcConnect("testpg") odbcGetInfo(channel) sqlTypeInfo(channel) sqlTables(channel) sqlDrop(channel, "USArrests", errors = FALSE) sqlSave(channel, USArrests, rownames = "state", addPK = TRUE) sqlTables(channel) sqlColumns(channel, "USArrests") sqlColumns(channel, "USArrests", special = TRUE) sqlPrimaryKeys(channel, "USArrests") sqlFetch(channel, "USArrests", rownames = "state") sqlQuery(channel, "select state, murder from USArrests where rape > 30 order by murder") foo <- cbind(state=row.names(USArrests), USArrests)[1:3, c(1,3)] foo[1,2] <- 236 sqlUpdate(channel, foo, "USArrests", index = "state") sqlFetch(channel, "USArrests", rownames = "state", max = 5) sqlDrop(channel, "USArrests") sqlDrop(channel, "hills test", errors = FALSE) sqlSave(channel, hills, "hills test", verbose=TRUE) sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=TRUE) sqlFetch(channel, "hills test") sqlDrop(channel, "hills test") sqlSave(channel, hills, "hills test", verbose=TRUE, fast=FALSE) sqlUpdate(channel, hills[11:15,], "hills test", verbose=TRUE, fast=FALSE) sqlDrop(channel, "hills test") ## close the connection close(channel) channel <- odbcConnect("testpg") dates <- as.character(seq(as.Date("2004-01-01"), by="week", length.out=10)) times <- paste(1:10, "05", "00", sep=":") dt <- paste(dates, " ", times, ".", round(1000*runif(10)), sep="") Dtest <- data.frame(dates, times, dt, logi=c(TRUE, NA, FALSE, FALSE, FALSE)) sqlDrop(channel, "Dtest", errors = FALSE) varspec <- c("date", "time", "timestamp", "varchar(5)") names(varspec) <- names(Dtest) sqlSave(channel, Dtest, varTypes = varspec, verbose=TRUE) sqlColumns(channel, "Dtest") sqlFetch(channel, "Dtest") sqlDrop(channel, "Dtest") close(channel) channel <- odbcConnect("testpg") Btest <- Atest <- data.frame(x = c(paste(1:100, collapse="+"), letters[2:4]), rn=1:4) Btest[,1] <- Atest[c(4,1:3),1] sqlDrop(channel, "Atest", errors = FALSE) colspec <- list(character="text", double="double", integer="integer", logical="varchar(5)") sqlSave(channel, Atest, typeInfo = colspec) sqlColumns(channel, "Atest") sqlFetch(channel, "Atest") sqlUpdate(channel, Btest, "Atest", index = "rn") sqlFetch(channel, "Atest") sqlDrop(channel, "Atest") varspec <- "text"; names(varspec) <- "x" sqlSave(channel, Atest, varTypes = varspec) sqlColumns(channel, "Atest") sqlFetch(channel, "Atest") sqlDrop(channel, "Atest") close(channel) RODBC/inst/po/0000755000176000001440000000000012131311405012515 5ustar ripleyusersRODBC/inst/po/de/0000755000176000001440000000000012131311405013105 5ustar ripleyusersRODBC/inst/po/de/LC_MESSAGES/0000755000176000001440000000000012131311405014672 5ustar ripleyusersRODBC/inst/po/de/LC_MESSAGES/RODBC.mo0000644000176000001440000000515313262225326016100 0ustar ripleyusersÞ•ÔŒ ($:%_)…$¯)Ô+þ *$K!p’,²)ß (Hfƒ8£'Ü‘$ ¶2Â.õ/$3T$ˆ0­+Þ) -4*b(0¶/ç 7 3X #Œ '° 9Ø & 19      No Data[RODBC] ERROR: Could not SQLAllocConnect[RODBC] ERROR: Could not SQLAllocEnv[RODBC] ERROR: Could not SQLAllocStmt[RODBC] ERROR: Could not SQLDriverConnect[RODBC] ERROR: Failure in SQLColumns[RODBC] ERROR: Failure in SQLPrimary keys[RODBC] ERROR: Failure in SQLSpecialColumns[RODBC] ERROR: SQLBindCol failed[RODBC] ERROR: SQLDescribeCol failed[RODBC] ERROR: SQLRowCount failed[RODBC] ERROR: SQLTables failed[RODBC] ERROR: state %s, code %d, message %s[RODBC] ERROR:invalid connection argument[RODBC] Error in SQLDisconnect[RODBC] Error in SQLFreeconnect[RODBC] Failed exec in Update[RODBC] No results available[RODBC] SQLBindParameter failedcharacter data '%s' truncated to %d bytes in column '%s'character data truncated in column '%s'closing unused RODBC handle %d Project-Id-Version: r-cran-rodbc 1.3-1-2 Report-Msgid-Bugs-To: POT-Creation-Date: 2018-04-07 21:32+0100 PO-Revision-Date: 2010-04-29 23:11+0100 Last-Translator: Chris Leick Language-Team: German Language: de MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Plural-Forms: nplurals=2; plural=(n != 1); Keine Daten[RODBC] FEHLER: SQLAllocConnect war nicht möglich[RODBC] FEHLER: SQLAllocEnv war nicht möglich[RODBC] FEHLER: SQLAllocStmt war nicht möglich[RODBC] FEHLER: SQLDriverConnect war nicht möglich[RODBC] FEHLER: Defekt in SQLColumns[RODBC] FEHLER: Defekt in SQLPrimary-Schlüsseln[RODBC] FEHLER: Defekt in SQLSpecialColumns[RODBC] FEHLER: SQLBindCol fehlgeschlagen[RODBC] FEHLER: SQLDescribeCol fehlgeschlagen[RODBC] FEHLER: SQLRowCount fehlgeschlagen[RODBC] FEHLER: SQLTables fehlgeschlagen[RODBC] FEHLER: Status %s, Code %d, Nachricht %s[RODBC] FEHLER: Ungültiges Verbindungsargument[RODBC] Fehler in SQLDisconnect[RODBC] Fehler in SQLFreeconnect[RODBC] Ausführen in Aktualisierung fehlgeschlagen[RODBC] Keine Ergebnisse verfügbar[RODBC] SQLBindParameter fehlgeschlagenZeichendaten »%s« auf %d Byte gekürzt in Spalte »%s«Zeichendaten in Spalte »%s« gekürztnicht benutztes RODBC-Handle %d wird geschlossen RODBC/inst/po/de/LC_MESSAGES/R-RODBC.mo0000644000176000001440000000653013262225326016277 0ustar ripleyusersÞ•%D5l@ AK(h‘“0°Fá(?,N4{4°%å  #18j+‡³Ã"Óö*D#V z„–¬ Ãäõû’+ ¾Ë5è " >C \‚ ß þ / E@ 8† %¿ !å   )' Q ,k ˜ § *¹ ä ý  3 .C r  – ° ,Ì ù  * A #    "! %$!= cols ='as.is' has the wrong length'dat' are not in the names of 'varTypes',: table not found on channelArgument 'channel' must inherit from class RODBCInvalid case parameter: nochange | toupper | tolower | common db namesODBC connection failedalready existsargument 'driver' must be a character stringargument 'value' must be a named list of length >= 4argument 'varTypes' has no names and will be ignoredargument is not an open RODBC channelcannot updatecolumn(s)data frame column(s)destination argument is not an open RODBC channeldestination should be a namefirst argument is not an open RODBC channelindex column(s)invalid channelinvalid numeric 'as.is' expressionmissing argument 'query'missing argument 'sqtable'missing columns in 'data'missing parameterno parameters, so nothing to updatenot foundnot in data framenot in database tableshould be a data frameshould be a data frame or matrixshould be a nametableunable to append to tablewithout unique columnProject-Id-Version: R 2.10.0 Report-Msgid-Bugs-To: bugs@r-project.org POT-Creation-Date: 2011-05-30 09:16 PO-Revision-Date: 2010-04-29 18:20+0100 Last-Translator: Chris Leick Language-Team: German Language: de MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Plural-Forms: nplurals=2; plural=(n != 1); != Spalten =»as.is« hat falsche Länge»dat« nicht in den Namen von »varTypes« enthalten,: Tabelle auf Kanal nicht gefundenArgument »channel« muss von der Klasse RODBC abgeleitet seinUngültiger Groß-/Kleinschreibungsparameter: nochange | toupper | tolower | common db namesODBC-Verbindung fehlgeschlagenexistiert bereitsArgument »driver« muss eine Zeichenkette seinArgument »value« muss eine benannte Liste mit einer Länge >=4 seinArgument »varTypes« hat keine Namen und wird ignoriertArgument ist kein offener RODBC-Kanales kann nicht aktualisiert werdenSpalte(n)Daten-Frame-Spalte(n)Zielargument ist kein offener RODBC-KanalZiel sollte ein Name seinerstes Argument ist kein offener RODBC-KanalIndexspalte(n)ungültiger Kanalungültiger numerischer »as.is«-AusdruckArgument »query« fehltArgument »sqtable« fehltin »data« fehlen SpaltenParameter fehltkeine Parameter, daher nichts zu aktualisierennicht gefundennicht im Daten-Framenicht in Datenbanktabellesollte ein Daten-Frame seinsollte ein Daten-Frame oder eine Matrix seinsollte ein Name seinTabellees kann nicht angehängt werden an Tabelleohne eindeutige SpalteRODBC/inst/po/pl/0000755000176000001440000000000012131311405013130 5ustar ripleyusersRODBC/inst/po/pl/LC_MESSAGES/0000755000176000001440000000000012131311405014715 5ustar ripleyusersRODBC/inst/po/pl/LC_MESSAGES/RODBC.mo0000644000176000001440000000540213262225326016120 0ustar ripleyusersÞ•ÔŒ ($:%_)…$¯)Ô+þ *$K!p’,²)ß (Hfƒ8£'Ü$ >3J/~0®4ß*3?1s-¥1Ó. ,4 -a 1 Á à ( !) +K 9w &± )Ø      No Data[RODBC] ERROR: Could not SQLAllocConnect[RODBC] ERROR: Could not SQLAllocEnv[RODBC] ERROR: Could not SQLAllocStmt[RODBC] ERROR: Could not SQLDriverConnect[RODBC] ERROR: Failure in SQLColumns[RODBC] ERROR: Failure in SQLPrimary keys[RODBC] ERROR: Failure in SQLSpecialColumns[RODBC] ERROR: SQLBindCol failed[RODBC] ERROR: SQLDescribeCol failed[RODBC] ERROR: SQLRowCount failed[RODBC] ERROR: SQLTables failed[RODBC] ERROR: state %s, code %d, message %s[RODBC] ERROR:invalid connection argument[RODBC] Error in SQLDisconnect[RODBC] Error in SQLFreeconnect[RODBC] Failed exec in Update[RODBC] No results available[RODBC] SQLBindParameter failedcharacter data '%s' truncated to %d bytes in column '%s'character data truncated in column '%s'closing unused RODBC handle %d Project-Id-Version: RODBC 1.3-5 Report-Msgid-Bugs-To: POT-Creation-Date: 2018-04-07 21:32+0100 PO-Revision-Date: 2012-06-26 19:38+0100 Last-Translator: Åukasz Daniel Language-Team: Åukasz Daniel Language: MIME-Version: 1.0 Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: 8bit X-Poedit-SourceCharset: iso-8859-1 Plural-Forms: nplurals=3; plural=(n==1 ? 0 : n%10>=2 && n%10<=4 && (n%100<10 || n%100>=20) ? 1 : 2) X-Poedit-Language: polish X-Poedit-Country: POLAND Brak danychBÅÄ„D [RODBC]: Nie można wykonać SQLAllocConnectBÅÄ„D [RODBC]: Nie można wykonać SQLAllocEnvBÅÄ„D [RODBC]: Nie można wykonać SQLAllocStmtBÅÄ„D [RODBC]: Nie można wykonać SQLDriverConnectBÅÄ„D [RODBC]: Niepowodzenie w SQLColumnsBÅÄ„D [RODBC]: Niepowodzenie w kluczach SQLPrimaryBÅÄ„D [RODBC]: Niepowodzenie w SQLSpecialColumnsBÅÄ„D [RODBC]: SQLBindCol nie powiodÅ‚o siÄ™BÅÄ„D [RODBC]: SQLDescribeCol nie powiodÅ‚o siÄ™BÅÄ„D [RODBC]: SQLRowCount nie powiodÅ‚o siÄ™BÅÄ„D [RODBC]: SQLTables nie powiodÅ‚o siÄ™BÅÄ„D [RODBC]: stan %s, kod %d, komunikat %sBÅÄ„D [RODBC]: niepoprawny argument poÅ‚Ä…czenia[RODBC] BÅ‚Ä…d w SQLDisconnect[RODBC] BÅ‚Ä…d w SQLFreeconnect[RODBC] Niepowodzenie w wykonaniu Update[RODBC] Brak dostÄ™pnych wyników[RODBC] SQLBindParameter nie powiodÅ‚o siÄ™dane tekstowe '%s' obciÄ™te do %d bajtów w kolumnie '%s'dane tekstowe obciÄ™te w kolumnie '%s'zamykanie nieużywanej obsÅ‚ugi RODBC %d RODBC/inst/po/pl/LC_MESSAGES/R-RODBC.mo0000644000176000001440000000774713262225326016335 0ustar ripleyusersÞ•)d;¬˜ ™£(Àéë0F9€—,¦4Ó4%= c q{1Â#ß+/?"Or‹¦À#Ò ö4(<]3šÎ å7&M t '~ "¦ É *Ë 2ö K) $u š 1¨ <Ú : (R { • 2« Þ ,÷ 2$ W i '| ¤ À Þ ú .= T`FyTÀE["p“¨ °Ñ !# &%$  "( )' != cols ='as.is' has the wrong length'dat' are not in the names of 'varTypes',: table not found on channelArgument 'channel' must inherit from class RODBCInvalid case parameter: nochange | toupper | tolower | common db namesODBC connection failedalready existsargument 'driver' must be a character stringargument 'value' must be a named list of length >= 4argument 'varTypes' has no names and will be ignoredargument is not an open RODBC channelcannot updatecolumn(s)data frame column(s)destination argument is not an open RODBC channeldestination should be a namedot.dot.dot names are not supportedfirst argument is not an open RODBC channelindex column(s)invalid channelinvalid numeric 'as.is' expressionmissing argument 'query'missing argument 'sqtable'missing columns in 'data'missing parameterno parameters, so nothing to updatenot foundnot in data framenot in database tableodbcConnectAccess is only usable with 32-bit WindowsodbcConnectDbase is probably only usable with 32-bit WindowsodbcConnectExcel is only usable with 32-bit Windowsshould be a data frameshould be a data frame or matrixshould be a nametableunable to append to tablewithout unique columnProject-Id-Version: RODBC 1.3-5 Report-Msgid-Bugs-To: bugs@r-project.org POT-Creation-Date: 2012-06-27 09:31 PO-Revision-Date: 2012-06-26 19:38+0100 Last-Translator: Åukasz Daniel Language-Team: Åukasz Daniel Language: MIME-Version: 1.0 Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: 8bit X-Poedit-Language: polish X-Poedit-Country: POLAND X-Poedit-SourceCharset: iso-8859-1 Plural-Forms: nplurals=3; plural=(n==1 ? 0 : n%10>=2 && n%10<=4 && (n%100<10 || n%100>=20) ? 1 : 2) != cols ='as.is' posiada niepoprawnÄ… dÅ‚ugość'dat' nie sÄ… w nazwach 'varTypes',: tabela nie zostaÅ‚a znaleziona na kanaleArgument 'channel' musi dziedziczyć z klasy RODBCNiepoprawny parametr 'case': nochange | toupper | tolower | common db namespoÅ‚Ä…czenie ODBC nie powiodÅ‚o siÄ™już istniejeargument 'driver' musi być Å‚aÅ„cuchem tekstowymargument 'value' musi być nazwanÄ… listÄ… o dÅ‚ugoÅ›ci >= 4argument 'varTypes' nie posiada nazw i bÄ™dzie zignorowanyargument nie jest otwartym kanaÅ‚em ODBCnie można zaktualizowaćkolumnykolumny ramkipierwszy argument nie jest otwartym kanaÅ‚em RODBCcel powinien być nazwÄ…nazwy kropka.kropka.kropka nie sÄ… wspieranepierwszy argument nie jest otwartym kanaÅ‚em RODBCkolumny indeksówniepoprawny kanaÅ‚niepoprawne wyrażenie liczbowe 'as.is'brakujÄ…cy argument 'query'brakujÄ…cy argument 'sqtable'brakujÄ…ce kolumny w 'data'brakujÄ…cy parametrbrak parametrów, wiÄ™c nic do zaktualizowanianie zostaÅ‚ znalezionynie w ramcenie w tabeli bazy danychodbcConnectAccess jest używalne jedynie z 32-bitowym systemem WindowsodbcConnectDbase jest prawdopodobnie używalne jedynie z 32-bitowym systemem WindowsodbcConnectExcel jest używalne jedynie z 32-bitowym systemem Windowspowinien być ramkÄ…powinien być ramkÄ… lub macierzÄ…powinien być nazwÄ…tablicanie można doÅ‚Ä…czyć do tabelibez unikalnej kolumnyRODBC/inst/po/da/0000755000176000001440000000000012131311405013101 5ustar ripleyusersRODBC/inst/po/da/LC_MESSAGES/0000755000176000001440000000000012131311405014666 5ustar ripleyusersRODBC/inst/po/da/LC_MESSAGES/RODBC.mo0000644000176000001440000000463513262225326016100 0ustar ripleyusersÞ•ÔŒ ($:%_)…$¯)Ô+þ *$K!p’,²)ß (Hfƒ8£'ÜX$ }(ˆ$±%Ö)ü&'F&n •$¶!Ûý-+Kw”(²&Û  5# "Y |      No Data[RODBC] ERROR: Could not SQLAllocConnect[RODBC] ERROR: Could not SQLAllocEnv[RODBC] ERROR: Could not SQLAllocStmt[RODBC] ERROR: Could not SQLDriverConnect[RODBC] ERROR: Failure in SQLColumns[RODBC] ERROR: Failure in SQLPrimary keys[RODBC] ERROR: Failure in SQLSpecialColumns[RODBC] ERROR: SQLBindCol failed[RODBC] ERROR: SQLDescribeCol failed[RODBC] ERROR: SQLRowCount failed[RODBC] ERROR: SQLTables failed[RODBC] ERROR: state %s, code %d, message %s[RODBC] ERROR:invalid connection argument[RODBC] Error in SQLDisconnect[RODBC] Error in SQLFreeconnect[RODBC] Failed exec in Update[RODBC] No results available[RODBC] SQLBindParameter failedcharacter data '%s' truncated to %d bytes in column '%s'character data truncated in column '%s'closing unused RODBC handle %d Project-Id-Version: rodbc Report-Msgid-Bugs-To: POT-Creation-Date: 2018-04-07 21:32+0100 PO-Revision-Date: 2011-05-28 18:30+01:00 Last-Translator: Joe Hansen Language-Team: Danish Language: da MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Ingen data[RODBC] FEJL: Kunne ikke SQLAllocConnect[RODBC] FEJL: Kunne ikke SQLAllocEnv[RODBC] FEJL: Kunne ikke SQLAllocStmt[RODBC] FEJL: Kunne ikke SQLDriverConnect[RODBC] FEJL: Fejl i SQLColumns[RODBC] FEJL: Fejl i SQLPrimary-nøgler[RODBC] FEJL: Fejl i SQLSpecialColumns[RODBC] FEJL: SQLBindCol fejlede[RODBC] FEJL: SQLDescribeCol fejlede[RODBC] FEJL: SQLRowCount fejlede[RODBC] FEJL: SQLTables fejlede[RODBC] FEJL: tilstand %s, kode %d, besked %s[RODBC] FEJL: Ugyldigt forbindelsesargument[RODBC] Fejl i SQLDisconnect[RODBC] Fejl i SQLFreeconnect[RODBC] Kørsel fejlede under opdatering[RODBC] Ingen resultater tilgængelige[RODBC] SQLBindParameter fejledetegndata »%s« afkortet til %d byte i kolonne »%s«tegndata afkortet i kolonne »%s«lukker ubrugt RODBC-hÃ¥ndtag %d RODBC/inst/po/da/LC_MESSAGES/R-RODBC.mo0000644000176000001440000000636713262225326016303 0ustar ripleyusersÞ•&L5|P Q[(x¡£0ÀFñ8O,^4‹4À%õ  )31Hz#—+»ç÷"*C^x#Š ®¸Êà ÷)/Ih_ÈÑ*ï " -? Fm ´ Ñ ,á < ;K %‡ ­ ¿ È )Ú  ' -D r " ² Í ê  & A M ^ s $‹ ° à É å $!   #" &%!= cols ='as.is' has the wrong length'dat' are not in the names of 'varTypes',: table not found on channelArgument 'channel' must inherit from class RODBCInvalid case parameter: nochange | toupper | tolower | common db namesODBC connection failedalready existsargument 'driver' must be a character stringargument 'value' must be a named list of length >= 4argument 'varTypes' has no names and will be ignoredargument is not an open RODBC channelcannot updatecolumn(s)data frame column(s)destination argument is not an open RODBC channeldestination should be a namedot.dot.dot names are not supportedfirst argument is not an open RODBC channelindex column(s)invalid channelinvalid numeric 'as.is' expressionmissing argument 'query'missing argument 'sqtable'missing columns in 'data'missing parameterno parameters, so nothing to updatenot foundnot in data framenot in database tableshould be a data frameshould be a data frame or matrixshould be a nametableunable to append to tablewithout unique columnProject-Id-Version: R 2.12.0 Report-Msgid-Bugs-To: bugs@r-project.org POT-Creation-Date: 2011-05-30 09:16 PO-Revision-Date: 2011-05-28 18:30+01:00 Last-Translator: Joe Hansen Language-Team: Danish Language: da MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit != kol =»as.is« har forkert længde»dat« er ikke i navnene pÃ¥ »varTypes«,: tabel blev ikke fundet pÃ¥ kanalArgument »kanal« skal arve fra klasse RODBCUgyldig case-parameter: nochange | toupper | tolower | common db namesODBC-forbindelse mislykkedesfindes alleredeargument »driver« skal være en tegnstrengargument »value« skal være en navngivet længdeliste >= 4argument »varTypes« har intet navn og vil blive ignoreretargument er ikke en Ã¥ben RODBC-kanalkan ikke opdaterekolonnerdatarammekolonnermÃ¥largument er ikke en Ã¥ben RODBC-kanalmÃ¥l skal være et navndot.dot.dot-navne er ikke understøttetførste argument er ikke en Ã¥ben RODBC-kanalindekskolonnerugyldig kanalugyldigt numerisk »as.is-udtryk«mangler argument »query«mangler argument »sqtable«mangler kolonner i »data«manglende parameteringen parametre, sÃ¥ intet at opdatereikke fundetikke i datarammeikke i databasetabelskal være en datarammeskal være en dataramme eller matrixskal være et navntabelkan ikke tilføje til tabeluden unik kolonneRODBC/inst/po/en@quot/0000755000176000001440000000000012131311405014130 5ustar ripleyusersRODBC/inst/po/en@quot/LC_MESSAGES/0000755000176000001440000000000012131311405015715 5ustar ripleyusersRODBC/inst/po/en@quot/LC_MESSAGES/RODBC.mo0000644000176000001440000000464413262225326017127 0ustar ripleyusersÞ•ÔŒ ($:%_)…$¯)Ô+þ *$K!p’,²)ß (Hfƒ8£'ÜX$}(…$®%Ó)ù$#)H+r ž$¿!ä,&)S}œ¼Ú÷@ +X „      No Data[RODBC] ERROR: Could not SQLAllocConnect[RODBC] ERROR: Could not SQLAllocEnv[RODBC] ERROR: Could not SQLAllocStmt[RODBC] ERROR: Could not SQLDriverConnect[RODBC] ERROR: Failure in SQLColumns[RODBC] ERROR: Failure in SQLPrimary keys[RODBC] ERROR: Failure in SQLSpecialColumns[RODBC] ERROR: SQLBindCol failed[RODBC] ERROR: SQLDescribeCol failed[RODBC] ERROR: SQLRowCount failed[RODBC] ERROR: SQLTables failed[RODBC] ERROR: state %s, code %d, message %s[RODBC] ERROR:invalid connection argument[RODBC] Error in SQLDisconnect[RODBC] Error in SQLFreeconnect[RODBC] Failed exec in Update[RODBC] No results available[RODBC] SQLBindParameter failedcharacter data '%s' truncated to %d bytes in column '%s'character data truncated in column '%s'closing unused RODBC handle %d Project-Id-Version: RODBC 1.3-15 Report-Msgid-Bugs-To: POT-Creation-Date: 2018-04-07 21:32+0100 PO-Revision-Date: 2018-04-07 21:32+0100 Last-Translator: Automatically generated Language-Team: none Language: en MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Plural-Forms: nplurals=2; plural=(n != 1); No Data[RODBC] ERROR: Could not SQLAllocConnect[RODBC] ERROR: Could not SQLAllocEnv[RODBC] ERROR: Could not SQLAllocStmt[RODBC] ERROR: Could not SQLDriverConnect[RODBC] ERROR: Failure in SQLColumns[RODBC] ERROR: Failure in SQLPrimary keys[RODBC] ERROR: Failure in SQLSpecialColumns[RODBC] ERROR: SQLBindCol failed[RODBC] ERROR: SQLDescribeCol failed[RODBC] ERROR: SQLRowCount failed[RODBC] ERROR: SQLTables failed[RODBC] ERROR: state %s, code %d, message %s[RODBC] ERROR:invalid connection argument[RODBC] Error in SQLDisconnect[RODBC] Error in SQLFreeconnect[RODBC] Failed exec in Update[RODBC] No results available[RODBC] SQLBindParameter failedcharacter data ‘%s’ truncated to %d bytes in column ‘%s’character data truncated in column ‘%s’closing unused RODBC handle %d RODBC/inst/po/en@quot/LC_MESSAGES/R-RODBC.mo0000644000176000001440000000714513262225326017325 0ustar ripleyusersÞ•)d;¬˜ ™£(Àéë0F9€—,¦4Ó4%= c q{1Â#ß+/?"Or‹¦À#Ò ö4(<]3šÎ å77M … 0° á ã 4 F5 | “ 0¢ 8Ó 8 %E k y ƒ 1˜ Ê #ç + 7 G &W ~ › º Ø #ê   * 4@ <u 3² æ ý /5O !# &%$  "( )' != cols ='as.is' has the wrong length'dat' are not in the names of 'varTypes',: table not found on channelArgument 'channel' must inherit from class RODBCInvalid case parameter: nochange | toupper | tolower | common db namesODBC connection failedalready existsargument 'driver' must be a character stringargument 'value' must be a named list of length >= 4argument 'varTypes' has no names and will be ignoredargument is not an open RODBC channelcannot updatecolumn(s)data frame column(s)destination argument is not an open RODBC channeldestination should be a namedot.dot.dot names are not supportedfirst argument is not an open RODBC channelindex column(s)invalid channelinvalid numeric 'as.is' expressionmissing argument 'query'missing argument 'sqtable'missing columns in 'data'missing parameterno parameters, so nothing to updatenot foundnot in data framenot in database tableodbcConnectAccess is only usable with 32-bit WindowsodbcConnectDbase is probably only usable with 32-bit WindowsodbcConnectExcel is only usable with 32-bit Windowsshould be a data frameshould be a data frame or matrixshould be a nametableunable to append to tablewithout unique columnProject-Id-Version: RODBC 1.3-15 POT-Creation-Date: 2018-04-07 21:32 PO-Revision-Date: 2018-04-07 21:32 Last-Translator: Automatically generated Language-Team: none MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Language: en Plural-Forms: nplurals=2; plural=(n != 1); != cols =‘as.is’ has the wrong length‘dat’ are not in the names of ‘varTypes’,: table not found on channelArgument ‘channel’ must inherit from class RODBCInvalid case parameter: nochange | toupper | tolower | common db namesODBC connection failedalready existsargument ‘driver’ must be a character stringargument ‘value’ must be a named list of length >= 4argument ‘varTypes’ has no names and will be ignoredargument is not an open RODBC channelcannot updatecolumn(s)data frame column(s)destination argument is not an open RODBC channeldestination should be a namedot.dot.dot names are not supportedfirst argument is not an open RODBC channelindex column(s)invalid channelinvalid numeric ‘as.is’ expressionmissing argument ‘query’missing argument ‘sqtable’missing columns in ‘data’missing parameterno parameters, so nothing to updatenot foundnot in data framenot in database tableodbcConnectAccess is only usable with 32-bit WindowsodbcConnectDbase is probably only usable with 32-bit WindowsodbcConnectExcel is only usable with 32-bit Windowsshould be a data frameshould be a data frame or matrixshould be a nametableunable to append to tablewithout unique columnRODBC/po/0000755000176000001440000000000013675550432011563 5ustar ripleyusersRODBC/po/RODBC.pot0000644000176000001440000000424313262225326013134 0ustar ripleyusers# SOME DESCRIPTIVE TITLE. # Copyright (C) YEAR THE PACKAGE'S COPYRIGHT HOLDER # This file is distributed under the same license as the RODBC package. # FIRST AUTHOR , YEAR. # #, fuzzy msgid "" msgstr "" "Project-Id-Version: RODBC 1.3-15\n" "Report-Msgid-Bugs-To: \n" "POT-Creation-Date: 2018-04-07 21:32+0100\n" "PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n" "Last-Translator: FULL NAME \n" "Language-Team: LANGUAGE \n" "Language: \n" "MIME-Version: 1.0\n" "Content-Type: text/plain; charset=CHARSET\n" "Content-Transfer-Encoding: 8bit\n" #: RODBC.c:160 msgid "[RODBC] ERROR: Could not SQLAllocStmt" msgstr "" #: RODBC.c:173 msgid "[RODBC] ERROR: Could not SQLAllocEnv" msgstr "" #: RODBC.c:224 msgid "[RODBC] ERROR:invalid connection argument" msgstr "" #: RODBC.c:293 #, c-format msgid "[RODBC] ERROR: state %s, code %d, message %s" msgstr "" #: RODBC.c:296 msgid "[RODBC] ERROR: Could not SQLDriverConnect" msgstr "" #: RODBC.c:300 msgid "[RODBC] ERROR: Could not SQLAllocConnect" msgstr "" #: RODBC.c:393 msgid "[RODBC] ERROR: Failure in SQLPrimary keys" msgstr "" #: RODBC.c:439 msgid "[RODBC] ERROR: Failure in SQLColumns" msgstr "" #: RODBC.c:475 msgid "[RODBC] ERROR: Failure in SQLSpecialColumns" msgstr "" #: RODBC.c:530 RODBC.c:578 msgid "[RODBC] ERROR: SQLTables failed" msgstr "" #: RODBC.c:654 msgid "[RODBC] ERROR: SQLRowCount failed" msgstr "" #: RODBC.c:704 msgid "[RODBC] ERROR: SQLDescribeCol failed" msgstr "" #: RODBC.c:751 msgid "[RODBC] ERROR: SQLBindCol failed" msgstr "" #: RODBC.c:770 RODBC.c:802 RODBC.c:971 msgid "[RODBC] No results available" msgstr "" #: RODBC.c:808 msgid "No Data" msgstr "" #: RODBC.c:872 #, c-format msgid "character data truncated in column '%s'" msgstr "" #: RODBC.c:1120 msgid "[RODBC] SQLBindParameter failed" msgstr "" #: RODBC.c:1165 #, c-format msgid "character data '%s' truncated to %d bytes in column '%s'" msgstr "" #: RODBC.c:1182 msgid "[RODBC] Failed exec in Update" msgstr "" #: RODBC.c:1214 msgid "[RODBC] Error in SQLDisconnect" msgstr "" #: RODBC.c:1219 msgid "[RODBC] Error in SQLFreeconnect" msgstr "" #: RODBC.c:1238 #, c-format msgid "closing unused RODBC handle %d\n" msgstr "" RODBC/po/R-da.po0000644000176000001440000000704311754561777012724 0ustar ripleyusers# Danish translation r-rodbc. # Copyright (C) r-rodbc & nedenstÃ¥ende oversættere. # This file is distributed under the same license as the r-rodbc package. # Joe Hansen (joedalton2@yahoo.dk), 2011. # msgid "" msgstr "" "Project-Id-Version: R 2.12.0\n" "Report-Msgid-Bugs-To: bugs@r-project.org\n" "POT-Creation-Date: 2011-05-30 09:16\n" "PO-Revision-Date: 2011-05-28 18:30+01:00\n" "Last-Translator: Joe Hansen \n" "Language-Team: Danish \n" "Language: da\n" "MIME-Version: 1.0\n" "Content-Type: text/plain; charset=UTF-8\n" "Content-Transfer-Encoding: 8bit\n" msgid "first argument is not an open RODBC channel" msgstr "første argument er ikke en Ã¥ben RODBC-kanal" msgid "Argument 'channel' must inherit from class RODBC" msgstr "Argument »kanal« skal arve fra klasse RODBC" msgid "ODBC connection failed" msgstr "ODBC-forbindelse mislykkedes" msgid "Invalid case parameter: nochange | toupper | tolower | common db names" msgstr "Ugyldig case-parameter: nochange | toupper | tolower | common db names" msgid "no parameters, so nothing to update" msgstr "ingen parametre, sÃ¥ intet at opdatere" msgid "missing columns in 'data'" msgstr "mangler kolonner i »data«" msgid "argument is not an open RODBC channel" msgstr "argument er ikke en Ã¥ben RODBC-kanal" msgid "argument 'driver' must be a character string" msgstr "argument »driver« skal være en tegnstreng" msgid "argument 'value' must be a named list of length >= 4" msgstr "argument »value« skal være en navngivet længdeliste >= 4" msgid "missing argument 'sqtable'" msgstr "mangler argument »sqtable«" msgid "table" msgstr "tabel" msgid "not found" msgstr "ikke fundet" msgid "destination argument is not an open RODBC channel" msgstr "mÃ¥largument er ikke en Ã¥ben RODBC-kanal" msgid "missing parameter" msgstr "manglende parameter" msgid "destination should be a name" msgstr "mÃ¥l skal være et navn" msgid "should be a name" msgstr "skal være et navn" msgid "should be a data frame" msgstr "skal være en dataramme" msgid "already exists" msgstr "findes allerede" msgid "unable to append to table" msgstr "kan ikke tilføje til tabel" msgid "argument 'varTypes' has no names and will be ignored" msgstr "argument »varTypes« har intet navn og vil blive ignoreret" msgid "column(s)" msgstr "kolonner" msgid "," msgstr "," msgid "'dat' are not in the names of 'varTypes'" msgstr "»dat« er ikke i navnene pÃ¥ »varTypes«" msgid "invalid channel" msgstr "ugyldig kanal" msgid ": table not found on channel" msgstr ": tabel blev ikke fundet pÃ¥ kanal" msgid "dot.dot.dot names are not supported" msgstr "dot.dot.dot-navne er ikke understøttet" msgid "missing argument 'query'" msgstr "mangler argument »query«" msgid "invalid numeric 'as.is' expression" msgstr "ugyldigt numerisk »as.is-udtryk«" msgid "'as.is' has the wrong length" msgstr "»as.is« har forkert længde" msgid "!= cols =" msgstr "!= kol =" msgid "should be a data frame or matrix" msgstr "skal være en dataramme eller matrix" msgid "index column(s)" msgstr "indekskolonner" msgid "not in database table" msgstr "ikke i databasetabel" msgid "not in data frame" msgstr "ikke i dataramme" msgid "cannot update" msgstr "kan ikke opdatere" msgid "without unique column" msgstr "uden unik kolonne" msgid "data frame column(s)" msgstr "datarammekolonner" msgid "odbcConnectExcel is only usable with 32-bit Windows" msgstr "" msgid "odbcConnectAccess is only usable with 32-bit Windows" msgstr "" msgid "odbcConnectDbase is probably only usable with 32-bit Windows" msgstr "" RODBC/po/R-RODBC.pot0000644000176000001440000000437013262225326013334 0ustar ripleyusersmsgid "" msgstr "" "Project-Id-Version: RODBC 1.3-15\n" "POT-Creation-Date: 2018-04-07 21:32\n" "PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n" "Last-Translator: FULL NAME \n" "Language-Team: LANGUAGE \n" "MIME-Version: 1.0\n" "Content-Type: text/plain; charset=CHARSET\n" "Content-Transfer-Encoding: 8bit\n" msgid "first argument is not an open RODBC channel" msgstr "" msgid "Argument 'channel' must inherit from class RODBC" msgstr "" msgid "ODBC connection failed" msgstr "" msgid "Invalid case parameter: nochange | toupper | tolower | common db names" msgstr "" msgid "no parameters, so nothing to update" msgstr "" msgid "missing columns in 'data'" msgstr "" msgid "argument is not an open RODBC channel" msgstr "" msgid "argument 'driver' must be a character string" msgstr "" msgid "argument 'value' must be a named list of length >= 4" msgstr "" msgid "missing argument 'sqtable'" msgstr "" msgid "table" msgstr "" msgid "not found" msgstr "" msgid "destination argument is not an open RODBC channel" msgstr "" msgid "missing parameter" msgstr "" msgid "destination should be a name" msgstr "" msgid "should be a name" msgstr "" msgid "should be a data frame" msgstr "" msgid "already exists" msgstr "" msgid "unable to append to table" msgstr "" msgid "argument 'varTypes' has no names and will be ignored" msgstr "" msgid "column(s)" msgstr "" msgid "," msgstr "" msgid "'dat' are not in the names of 'varTypes'" msgstr "" msgid "invalid channel" msgstr "" msgid ": table not found on channel" msgstr "" msgid "dot.dot.dot names are not supported" msgstr "" msgid "missing argument 'query'" msgstr "" msgid "invalid numeric 'as.is' expression" msgstr "" msgid "'as.is' has the wrong length" msgstr "" msgid "!= cols =" msgstr "" msgid "should be a data frame or matrix" msgstr "" msgid "index column(s)" msgstr "" msgid "not in database table" msgstr "" msgid "not in data frame" msgstr "" msgid "cannot update" msgstr "" msgid "without unique column" msgstr "" msgid "data frame column(s)" msgstr "" msgid "odbcConnectExcel is only usable with 32-bit Windows" msgstr "" msgid "odbcConnectAccess is only usable with 32-bit Windows" msgstr "" msgid "odbcConnectDbase is probably only usable with 32-bit Windows" msgstr "" RODBC/po/pl.po0000644000176000001440000000710213262225326012527 0ustar ripleyusers# SOME DESCRIPTIVE TITLE. # Copyright (C) YEAR The R Foundation # This file is distributed under the same license as the PACKAGE package. # FIRST AUTHOR , YEAR. # msgid "" msgstr "" "Project-Id-Version: RODBC 1.3-5\n" "Report-Msgid-Bugs-To: \n" "POT-Creation-Date: 2018-04-07 21:32+0100\n" "PO-Revision-Date: 2012-06-26 19:38+0100\n" "Last-Translator: Åukasz Daniel \n" "Language-Team: Åukasz Daniel \n" "Language: \n" "MIME-Version: 1.0\n" "Content-Type: text/plain; charset=utf-8\n" "Content-Transfer-Encoding: 8bit\n" "X-Poedit-SourceCharset: iso-8859-1\n" "Plural-Forms: nplurals=3; plural=(n==1 ? 0 : n%10>=2 && n%10<=4 && (n%100<10 " "|| n%100>=20) ? 1 : 2)\n" "X-Poedit-Language: polish\n" "X-Poedit-Country: POLAND\n" #: RODBC.c:160 msgid "[RODBC] ERROR: Could not SQLAllocStmt" msgstr "BÅÄ„D [RODBC]: Nie można wykonać SQLAllocStmt" #: RODBC.c:173 msgid "[RODBC] ERROR: Could not SQLAllocEnv" msgstr "BÅÄ„D [RODBC]: Nie można wykonać SQLAllocEnv" #: RODBC.c:224 msgid "[RODBC] ERROR:invalid connection argument" msgstr "BÅÄ„D [RODBC]: niepoprawny argument poÅ‚Ä…czenia" #: RODBC.c:293 #, c-format msgid "[RODBC] ERROR: state %s, code %d, message %s" msgstr "BÅÄ„D [RODBC]: stan %s, kod %d, komunikat %s" #: RODBC.c:296 msgid "[RODBC] ERROR: Could not SQLDriverConnect" msgstr "BÅÄ„D [RODBC]: Nie można wykonać SQLDriverConnect" #: RODBC.c:300 msgid "[RODBC] ERROR: Could not SQLAllocConnect" msgstr "BÅÄ„D [RODBC]: Nie można wykonać SQLAllocConnect" #: RODBC.c:393 msgid "[RODBC] ERROR: Failure in SQLPrimary keys" msgstr "BÅÄ„D [RODBC]: Niepowodzenie w kluczach SQLPrimary" #: RODBC.c:439 msgid "[RODBC] ERROR: Failure in SQLColumns" msgstr "BÅÄ„D [RODBC]: Niepowodzenie w SQLColumns" #: RODBC.c:475 msgid "[RODBC] ERROR: Failure in SQLSpecialColumns" msgstr "BÅÄ„D [RODBC]: Niepowodzenie w SQLSpecialColumns" #: RODBC.c:530 RODBC.c:578 msgid "[RODBC] ERROR: SQLTables failed" msgstr "BÅÄ„D [RODBC]: SQLTables nie powiodÅ‚o siÄ™" #: RODBC.c:654 msgid "[RODBC] ERROR: SQLRowCount failed" msgstr "BÅÄ„D [RODBC]: SQLRowCount nie powiodÅ‚o siÄ™" #: RODBC.c:704 msgid "[RODBC] ERROR: SQLDescribeCol failed" msgstr "BÅÄ„D [RODBC]: SQLDescribeCol nie powiodÅ‚o siÄ™" #: RODBC.c:751 msgid "[RODBC] ERROR: SQLBindCol failed" msgstr "BÅÄ„D [RODBC]: SQLBindCol nie powiodÅ‚o siÄ™" #: RODBC.c:770 RODBC.c:802 RODBC.c:971 msgid "[RODBC] No results available" msgstr "[RODBC] Brak dostÄ™pnych wyników" #: RODBC.c:808 msgid "No Data" msgstr "Brak danych" #: RODBC.c:872 #, c-format msgid "character data truncated in column '%s'" msgstr "dane tekstowe obciÄ™te w kolumnie '%s'" #: RODBC.c:1120 msgid "[RODBC] SQLBindParameter failed" msgstr "[RODBC] SQLBindParameter nie powiodÅ‚o siÄ™" #: RODBC.c:1165 #, c-format msgid "character data '%s' truncated to %d bytes in column '%s'" msgstr "dane tekstowe '%s' obciÄ™te do %d bajtów w kolumnie '%s'" #: RODBC.c:1182 msgid "[RODBC] Failed exec in Update" msgstr "[RODBC] Niepowodzenie w wykonaniu Update" #: RODBC.c:1214 msgid "[RODBC] Error in SQLDisconnect" msgstr "[RODBC] BÅ‚Ä…d w SQLDisconnect" #: RODBC.c:1219 msgid "[RODBC] Error in SQLFreeconnect" msgstr "[RODBC] BÅ‚Ä…d w SQLFreeconnect" #: RODBC.c:1238 #, c-format msgid "closing unused RODBC handle %d\n" msgstr "zamykanie nieużywanej obsÅ‚ugi RODBC %d\n" #~ msgid "[RODBC] ERROR: DBC driver claims there are < 0 columns!" #~ msgstr "BÅÄ„D [RODBC]: Sterownik DBC twierdzi, że jest < 0 kolumn!" #~ msgid "[RODBC] ERROR: DBC driver claims there are < 0 rows!" #~ msgstr "BÅÄ„D [RODBC]: Sterownik DBC twierdzi, że jest < 0 wierszy!" RODBC/po/R-pl.po0000644000176000001440000000756411772542322012744 0ustar ripleyusersmsgid "" msgstr "" "Project-Id-Version: RODBC 1.3-5\n" "Report-Msgid-Bugs-To: bugs@r-project.org\n" "POT-Creation-Date: 2012-06-27 09:31\n" "PO-Revision-Date: 2012-06-26 19:38+0100\n" "Last-Translator: Åukasz Daniel \n" "Language-Team: Åukasz Daniel \n" "Language: \n" "MIME-Version: 1.0\n" "Content-Type: text/plain; charset=utf-8\n" "Content-Transfer-Encoding: 8bit\n" "X-Poedit-Language: polish\n" "X-Poedit-Country: POLAND\n" "X-Poedit-SourceCharset: iso-8859-1\n" "Plural-Forms: nplurals=3; plural=(n==1 ? 0 : n%10>=2 && n%10<=4 && (n%100<10 " "|| n%100>=20) ? 1 : 2)\n" msgid "first argument is not an open RODBC channel" msgstr "pierwszy argument nie jest otwartym kanaÅ‚em RODBC" msgid "Argument 'channel' must inherit from class RODBC" msgstr "Argument 'channel' musi dziedziczyć z klasy RODBC" msgid "ODBC connection failed" msgstr "poÅ‚Ä…czenie ODBC nie powiodÅ‚o siÄ™" msgid "Invalid case parameter: nochange | toupper | tolower | common db names" msgstr "" "Niepoprawny parametr 'case': nochange | toupper | tolower | common db names" msgid "no parameters, so nothing to update" msgstr "brak parametrów, wiÄ™c nic do zaktualizowania" msgid "missing columns in 'data'" msgstr "brakujÄ…ce kolumny w 'data'" msgid "argument is not an open RODBC channel" msgstr "argument nie jest otwartym kanaÅ‚em ODBC" msgid "argument 'driver' must be a character string" msgstr "argument 'driver' musi być Å‚aÅ„cuchem tekstowym" msgid "argument 'value' must be a named list of length >= 4" msgstr "argument 'value' musi być nazwanÄ… listÄ… o dÅ‚ugoÅ›ci >= 4" msgid "missing argument 'sqtable'" msgstr "brakujÄ…cy argument 'sqtable'" msgid "table" msgstr "tablica" msgid "not found" msgstr "nie zostaÅ‚ znaleziony" msgid "destination argument is not an open RODBC channel" msgstr "pierwszy argument nie jest otwartym kanaÅ‚em RODBC" msgid "missing parameter" msgstr "brakujÄ…cy parametr" msgid "destination should be a name" msgstr "cel powinien być nazwÄ…" msgid "should be a name" msgstr "powinien być nazwÄ…" msgid "should be a data frame" msgstr "powinien być ramkÄ…" msgid "already exists" msgstr "już istnieje" msgid "unable to append to table" msgstr "nie można doÅ‚Ä…czyć do tabeli" msgid "argument 'varTypes' has no names and will be ignored" msgstr "argument 'varTypes' nie posiada nazw i bÄ™dzie zignorowany" msgid "column(s)" msgstr "kolumny" msgid "," msgstr "," msgid "'dat' are not in the names of 'varTypes'" msgstr "'dat' nie sÄ… w nazwach 'varTypes'" msgid "invalid channel" msgstr "niepoprawny kanaÅ‚" msgid ": table not found on channel" msgstr ": tabela nie zostaÅ‚a znaleziona na kanale" msgid "dot.dot.dot names are not supported" msgstr "nazwy kropka.kropka.kropka nie sÄ… wspierane" msgid "missing argument 'query'" msgstr "brakujÄ…cy argument 'query'" msgid "invalid numeric 'as.is' expression" msgstr "niepoprawne wyrażenie liczbowe 'as.is'" msgid "'as.is' has the wrong length" msgstr "'as.is' posiada niepoprawnÄ… dÅ‚ugość" msgid "!= cols =" msgstr "!= cols =" msgid "should be a data frame or matrix" msgstr "powinien być ramkÄ… lub macierzÄ…" msgid "index column(s)" msgstr "kolumny indeksów" msgid "not in database table" msgstr "nie w tabeli bazy danych" msgid "not in data frame" msgstr "nie w ramce" msgid "cannot update" msgstr "nie można zaktualizować" msgid "without unique column" msgstr "bez unikalnej kolumny" msgid "data frame column(s)" msgstr "kolumny ramki" msgid "odbcConnectExcel is only usable with 32-bit Windows" msgstr "odbcConnectExcel jest używalne jedynie z 32-bitowym systemem Windows" msgid "odbcConnectAccess is only usable with 32-bit Windows" msgstr "odbcConnectAccess jest używalne jedynie z 32-bitowym systemem Windows" msgid "odbcConnectDbase is probably only usable with 32-bit Windows" msgstr "" "odbcConnectDbase jest prawdopodobnie używalne jedynie z 32-bitowym systemem " "Windows" RODBC/po/R-de.po0000644000176000001440000000740311754561777012730 0ustar ripleyusers# Translation of r-cran-rodbc to German # Copyright (C) 1997 - 2008 Michael Lapsley and Brian D. Ripley. # This file is distributed under the same license as the r-cran-rodbc package. # Chris Leick , 2010. # msgid "" msgstr "" "Project-Id-Version: R 2.10.0\n" "Report-Msgid-Bugs-To: bugs@r-project.org\n" "POT-Creation-Date: 2011-05-30 09:16\n" "PO-Revision-Date: 2010-04-29 18:20+0100\n" "Last-Translator: Chris Leick \n" "Language-Team: German \n" "Language: de\n" "MIME-Version: 1.0\n" "Content-Type: text/plain; charset=UTF-8\n" "Content-Transfer-Encoding: 8bit\n" "Plural-Forms: nplurals=2; plural=(n != 1);\n" msgid "first argument is not an open RODBC channel" msgstr "erstes Argument ist kein offener RODBC-Kanal" msgid "Argument 'channel' must inherit from class RODBC" msgstr "Argument »channel« muss von der Klasse RODBC abgeleitet sein" msgid "ODBC connection failed" msgstr "ODBC-Verbindung fehlgeschlagen" msgid "Invalid case parameter: nochange | toupper | tolower | common db names" msgstr "" "Ungültiger Groß-/Kleinschreibungsparameter: nochange | toupper | tolower | " "common db names" msgid "no parameters, so nothing to update" msgstr "keine Parameter, daher nichts zu aktualisieren" msgid "missing columns in 'data'" msgstr "in »data« fehlen Spalten" msgid "argument is not an open RODBC channel" msgstr "Argument ist kein offener RODBC-Kanal" msgid "argument 'driver' must be a character string" msgstr "Argument »driver« muss eine Zeichenkette sein" msgid "argument 'value' must be a named list of length >= 4" msgstr "Argument »value« muss eine benannte Liste mit einer Länge >=4 sein" msgid "missing argument 'sqtable'" msgstr "Argument »sqtable« fehlt" msgid "table" msgstr "Tabelle" msgid "not found" msgstr "nicht gefunden" msgid "destination argument is not an open RODBC channel" msgstr "Zielargument ist kein offener RODBC-Kanal" msgid "missing parameter" msgstr "Parameter fehlt" msgid "destination should be a name" msgstr "Ziel sollte ein Name sein" msgid "should be a name" msgstr "sollte ein Name sein" # Konsistent mit r-foreign und r-nlme msgid "should be a data frame" msgstr "sollte ein Daten-Frame sein" msgid "already exists" msgstr "existiert bereits" msgid "unable to append to table" msgstr "es kann nicht angehängt werden an Tabelle" msgid "argument 'varTypes' has no names and will be ignored" msgstr "Argument »varTypes« hat keine Namen und wird ignoriert" msgid "column(s)" msgstr "Spalte(n)" msgid "," msgstr "," msgid "'dat' are not in the names of 'varTypes'" msgstr "»dat« nicht in den Namen von »varTypes« enthalten" msgid "invalid channel" msgstr "ungültiger Kanal" msgid ": table not found on channel" msgstr ": Tabelle auf Kanal nicht gefunden" msgid "dot.dot.dot names are not supported" msgstr "" msgid "missing argument 'query'" msgstr "Argument »query« fehlt" msgid "invalid numeric 'as.is' expression" msgstr "ungültiger numerischer »as.is«-Ausdruck" msgid "'as.is' has the wrong length" msgstr "»as.is« hat falsche Länge" msgid "!= cols =" msgstr "!= Spalten =" msgid "should be a data frame or matrix" msgstr "sollte ein Daten-Frame oder eine Matrix sein" msgid "index column(s)" msgstr "Indexspalte(n)" msgid "not in database table" msgstr "nicht in Datenbanktabelle" msgid "not in data frame" msgstr "nicht im Daten-Frame" msgid "cannot update" msgstr "es kann nicht aktualisiert werden" msgid "without unique column" msgstr "ohne eindeutige Spalte" msgid "data frame column(s)" msgstr "Daten-Frame-Spalte(n)" msgid "odbcConnectExcel is only usable with 32-bit Windows" msgstr "" msgid "odbcConnectAccess is only usable with 32-bit Windows" msgstr "" msgid "odbcConnectDbase is probably only usable with 32-bit Windows" msgstr "" RODBC/po/de.po0000644000176000001440000000632413262225326012511 0ustar ripleyusers# Translation of r-cran-rodbc to German # Copyright (C) 1997 - 2008 Michael Lapsley and Brian D. Ripley. # This file is distributed under the same license as the r-cran-rodbc package. # Chris Leick , 2010. # msgid "" msgstr "" "Project-Id-Version: r-cran-rodbc 1.3-1-2\n" "Report-Msgid-Bugs-To: \n" "POT-Creation-Date: 2018-04-07 21:32+0100\n" "PO-Revision-Date: 2010-04-29 23:11+0100\n" "Last-Translator: Chris Leick \n" "Language-Team: German \n" "Language: de\n" "MIME-Version: 1.0\n" "Content-Type: text/plain; charset=UTF-8\n" "Content-Transfer-Encoding: 8bit\n" "Plural-Forms: nplurals=2; plural=(n != 1);\n" #: RODBC.c:160 msgid "[RODBC] ERROR: Could not SQLAllocStmt" msgstr "[RODBC] FEHLER: SQLAllocStmt war nicht möglich" #: RODBC.c:173 msgid "[RODBC] ERROR: Could not SQLAllocEnv" msgstr "[RODBC] FEHLER: SQLAllocEnv war nicht möglich" # FIXME s/:invalid/: invalid/ #: RODBC.c:224 msgid "[RODBC] ERROR:invalid connection argument" msgstr "[RODBC] FEHLER: Ungültiges Verbindungsargument" #: RODBC.c:293 #, c-format msgid "[RODBC] ERROR: state %s, code %d, message %s" msgstr "[RODBC] FEHLER: Status %s, Code %d, Nachricht %s" #: RODBC.c:296 msgid "[RODBC] ERROR: Could not SQLDriverConnect" msgstr "[RODBC] FEHLER: SQLDriverConnect war nicht möglich" #: RODBC.c:300 msgid "[RODBC] ERROR: Could not SQLAllocConnect" msgstr "[RODBC] FEHLER: SQLAllocConnect war nicht möglich" #: RODBC.c:393 msgid "[RODBC] ERROR: Failure in SQLPrimary keys" msgstr "[RODBC] FEHLER: Defekt in SQLPrimary-Schlüsseln" #: RODBC.c:439 msgid "[RODBC] ERROR: Failure in SQLColumns" msgstr "[RODBC] FEHLER: Defekt in SQLColumns" #: RODBC.c:475 msgid "[RODBC] ERROR: Failure in SQLSpecialColumns" msgstr "[RODBC] FEHLER: Defekt in SQLSpecialColumns" #: RODBC.c:530 RODBC.c:578 msgid "[RODBC] ERROR: SQLTables failed" msgstr "[RODBC] FEHLER: SQLTables fehlgeschlagen" #: RODBC.c:654 msgid "[RODBC] ERROR: SQLRowCount failed" msgstr "[RODBC] FEHLER: SQLRowCount fehlgeschlagen" #: RODBC.c:704 msgid "[RODBC] ERROR: SQLDescribeCol failed" msgstr "[RODBC] FEHLER: SQLDescribeCol fehlgeschlagen" #: RODBC.c:751 msgid "[RODBC] ERROR: SQLBindCol failed" msgstr "[RODBC] FEHLER: SQLBindCol fehlgeschlagen" #: RODBC.c:770 RODBC.c:802 RODBC.c:971 msgid "[RODBC] No results available" msgstr "[RODBC] Keine Ergebnisse verfügbar" #: RODBC.c:808 msgid "No Data" msgstr "Keine Daten" #: RODBC.c:872 #, c-format msgid "character data truncated in column '%s'" msgstr "Zeichendaten in Spalte »%s« gekürzt" #: RODBC.c:1120 msgid "[RODBC] SQLBindParameter failed" msgstr "[RODBC] SQLBindParameter fehlgeschlagen" #: RODBC.c:1165 #, c-format msgid "character data '%s' truncated to %d bytes in column '%s'" msgstr "Zeichendaten »%s« auf %d Byte gekürzt in Spalte »%s«" #: RODBC.c:1182 msgid "[RODBC] Failed exec in Update" msgstr "[RODBC] Ausführen in Aktualisierung fehlgeschlagen" #: RODBC.c:1214 msgid "[RODBC] Error in SQLDisconnect" msgstr "[RODBC] Fehler in SQLDisconnect" #: RODBC.c:1219 msgid "[RODBC] Error in SQLFreeconnect" msgstr "[RODBC] Fehler in SQLFreeconnect" #: RODBC.c:1238 #, c-format msgid "closing unused RODBC handle %d\n" msgstr "nicht benutztes RODBC-Handle %d wird geschlossen\n" RODBC/po/da.po0000644000176000001440000000570413262225326012506 0ustar ripleyusers# Danish translation rodbc. # Copyright (C) rodbc & nedenstÃ¥ende oversættere. # This file is distributed under the same license as the rodbc package. # Joe Hansen (joedalton2@yahoo.dk), 2011. # msgid "" msgstr "" "Project-Id-Version: rodbc\n" "Report-Msgid-Bugs-To: \n" "POT-Creation-Date: 2018-04-07 21:32+0100\n" "PO-Revision-Date: 2011-05-28 18:30+01:00\n" "Last-Translator: Joe Hansen \n" "Language-Team: Danish \n" "Language: da\n" "MIME-Version: 1.0\n" "Content-Type: text/plain; charset=UTF-8\n" "Content-Transfer-Encoding: 8bit\n" #: RODBC.c:160 msgid "[RODBC] ERROR: Could not SQLAllocStmt" msgstr "[RODBC] FEJL: Kunne ikke SQLAllocStmt" #: RODBC.c:173 msgid "[RODBC] ERROR: Could not SQLAllocEnv" msgstr "[RODBC] FEJL: Kunne ikke SQLAllocEnv" #: RODBC.c:224 msgid "[RODBC] ERROR:invalid connection argument" msgstr "[RODBC] FEJL: Ugyldigt forbindelsesargument" #: RODBC.c:293 #, c-format msgid "[RODBC] ERROR: state %s, code %d, message %s" msgstr "[RODBC] FEJL: tilstand %s, kode %d, besked %s" #: RODBC.c:296 msgid "[RODBC] ERROR: Could not SQLDriverConnect" msgstr "[RODBC] FEJL: Kunne ikke SQLDriverConnect" #: RODBC.c:300 msgid "[RODBC] ERROR: Could not SQLAllocConnect" msgstr "[RODBC] FEJL: Kunne ikke SQLAllocConnect" #: RODBC.c:393 msgid "[RODBC] ERROR: Failure in SQLPrimary keys" msgstr "[RODBC] FEJL: Fejl i SQLPrimary-nøgler" #: RODBC.c:439 msgid "[RODBC] ERROR: Failure in SQLColumns" msgstr "[RODBC] FEJL: Fejl i SQLColumns" #: RODBC.c:475 msgid "[RODBC] ERROR: Failure in SQLSpecialColumns" msgstr "[RODBC] FEJL: Fejl i SQLSpecialColumns" #: RODBC.c:530 RODBC.c:578 msgid "[RODBC] ERROR: SQLTables failed" msgstr "[RODBC] FEJL: SQLTables fejlede" #: RODBC.c:654 msgid "[RODBC] ERROR: SQLRowCount failed" msgstr "[RODBC] FEJL: SQLRowCount fejlede" #: RODBC.c:704 msgid "[RODBC] ERROR: SQLDescribeCol failed" msgstr "[RODBC] FEJL: SQLDescribeCol fejlede" #: RODBC.c:751 msgid "[RODBC] ERROR: SQLBindCol failed" msgstr "[RODBC] FEJL: SQLBindCol fejlede" #: RODBC.c:770 RODBC.c:802 RODBC.c:971 msgid "[RODBC] No results available" msgstr "[RODBC] Ingen resultater tilgængelige" #: RODBC.c:808 msgid "No Data" msgstr "Ingen data" #: RODBC.c:872 #, c-format msgid "character data truncated in column '%s'" msgstr "tegndata afkortet i kolonne »%s«" #: RODBC.c:1120 msgid "[RODBC] SQLBindParameter failed" msgstr "[RODBC] SQLBindParameter fejlede" #: RODBC.c:1165 #, c-format msgid "character data '%s' truncated to %d bytes in column '%s'" msgstr "tegndata »%s« afkortet til %d byte i kolonne »%s«" #: RODBC.c:1182 msgid "[RODBC] Failed exec in Update" msgstr "[RODBC] Kørsel fejlede under opdatering" #: RODBC.c:1214 msgid "[RODBC] Error in SQLDisconnect" msgstr "[RODBC] Fejl i SQLDisconnect" #: RODBC.c:1219 msgid "[RODBC] Error in SQLFreeconnect" msgstr "[RODBC] Fejl i SQLFreeconnect" #: RODBC.c:1238 #, c-format msgid "closing unused RODBC handle %d\n" msgstr "lukker ubrugt RODBC-hÃ¥ndtag %d\n" RODBC/cleanup0000755000176000001440000000014714120634134012510 0ustar ripleyusers#!/bin/sh ## a.out.dSYM may get created on OS X. rm -rf config.* src/Makevars src/config.h a.out.dSYM RODBC/configure0000755000176000001440000043243214120634134013050 0ustar ripleyusers#! /bin/sh # Guess values for system-dependent variables and create Makefiles. # Generated by GNU Autoconf 2.71 for RODBC 1.3. # # Report bugs to . # # # Copyright (C) 1992-1996, 1998-2017, 2020-2021 Free Software Foundation, # Inc. # # # This configure script is free software; the Free Software Foundation # gives unlimited permission to copy, distribute and modify it. ## -------------------- ## ## M4sh Initialization. ## ## -------------------- ## # Be more Bourne compatible DUALCASE=1; export DUALCASE # for MKS sh as_nop=: if test ${ZSH_VERSION+y} && (emulate sh) >/dev/null 2>&1 then : emulate sh NULLCMD=: # Pre-4.2 versions of Zsh do word splitting on ${1+"$@"}, which # is contrary to our usage. Disable this feature. alias -g '${1+"$@"}'='"$@"' setopt NO_GLOB_SUBST else $as_nop case `(set -o) 2>/dev/null` in #( *posix*) : set -o posix ;; #( *) : ;; esac fi # Reset variables that may have inherited troublesome values from # the environment. # IFS needs to be set, to space, tab, and newline, in precisely that order. # (If _AS_PATH_WALK were called with IFS unset, it would have the # side effect of setting IFS to empty, thus disabling word splitting.) # Quoting is to prevent editors from complaining about space-tab. as_nl=' ' export as_nl IFS=" "" $as_nl" PS1='$ ' PS2='> ' PS4='+ ' # Ensure predictable behavior from utilities with locale-dependent output. LC_ALL=C export LC_ALL LANGUAGE=C export LANGUAGE # We cannot yet rely on "unset" to work, but we need these variables # to be unset--not just set to an empty or harmless value--now, to # avoid bugs in old shells (e.g. pre-3.0 UWIN ksh). This construct # also avoids known problems related to "unset" and subshell syntax # in other old shells (e.g. bash 2.01 and pdksh 5.2.14). for as_var in BASH_ENV ENV MAIL MAILPATH CDPATH do eval test \${$as_var+y} \ && ( (unset $as_var) || exit 1) >/dev/null 2>&1 && unset $as_var || : done # Ensure that fds 0, 1, and 2 are open. if (exec 3>&0) 2>/dev/null; then :; else exec 0&1) 2>/dev/null; then :; else exec 1>/dev/null; fi if (exec 3>&2) ; then :; else exec 2>/dev/null; fi # The user is always right. if ${PATH_SEPARATOR+false} :; then PATH_SEPARATOR=: (PATH='/bin;/bin'; FPATH=$PATH; sh -c :) >/dev/null 2>&1 && { (PATH='/bin:/bin'; FPATH=$PATH; sh -c :) >/dev/null 2>&1 || PATH_SEPARATOR=';' } fi # Find who we are. 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It is necessary to write \x00 == 0 to get something that is true only with -std. */ int osf4_cc_array ['\''\x00'\'' == 0 ? 1 : -1]; /* IBM C 6 for AIX is almost-ANSI by default, but it replaces macro parameters inside strings and character constants. */ #define FOO(x) '\''x'\'' int xlc6_cc_array[FOO(a) == '\''x'\'' ? 1 : -1]; int test (int i, double x); struct s1 {int (*f) (int a);}; struct s2 {int (*f) (double a);}; int pairnames (int, char **, int *(*)(struct buf *, struct stat *, int), int, int);' # Test code for whether the C compiler supports C89 (body of main). ac_c_conftest_c89_main=' ok |= (argc == 0 || f (e, argv, 0) != argv[0] || f (e, argv, 1) != argv[1]); ' # Test code for whether the C compiler supports C99 (global declarations) ac_c_conftest_c99_globals=' // Does the compiler advertise C99 conformance? #if !defined __STDC_VERSION__ || __STDC_VERSION__ < 199901L # error "Compiler does not advertise C99 conformance" #endif #include extern int puts (const char *); extern int printf (const char *, ...); extern int dprintf (int, const char *, ...); extern void *malloc (size_t); // Check varargs macros. These examples are taken from C99 6.10.3.5. // dprintf is used instead of fprintf to avoid needing to declare // FILE and stderr. #define debug(...) dprintf (2, __VA_ARGS__) #define showlist(...) puts (#__VA_ARGS__) #define report(test,...) ((test) ? puts (#test) : printf (__VA_ARGS__)) static void test_varargs_macros (void) { int x = 1234; int y = 5678; debug ("Flag"); debug ("X = %d\n", x); showlist (The first, second, and third items.); report (x>y, "x is %d but y is %d", x, y); } // Check long long types. #define BIG64 18446744073709551615ull #define BIG32 4294967295ul #define BIG_OK (BIG64 / BIG32 == 4294967297ull && BIG64 % BIG32 == 0) #if !BIG_OK #error "your preprocessor is broken" #endif #if BIG_OK #else #error "your preprocessor is broken" #endif static long long int bignum = -9223372036854775807LL; static unsigned long long int ubignum = BIG64; struct incomplete_array { int datasize; double data[]; }; struct named_init { int number; const wchar_t *name; double average; }; typedef const char *ccp; static inline int test_restrict (ccp restrict text) { // See if C++-style comments work. // Iterate through items via the restricted pointer. // Also check for declarations in for loops. for (unsigned int i = 0; *(text+i) != '\''\0'\''; ++i) continue; return 0; } // Check varargs and va_copy. static bool test_varargs (const char *format, ...) { va_list args; va_start (args, format); va_list args_copy; va_copy (args_copy, args); const char *str = ""; int number = 0; float fnumber = 0; while (*format) { switch (*format++) { case '\''s'\'': // string str = va_arg (args_copy, const char *); break; case '\''d'\'': // int number = va_arg (args_copy, int); break; case '\''f'\'': // float fnumber = va_arg (args_copy, double); break; default: break; } } va_end (args_copy); va_end (args); return *str && number && fnumber; } ' # Test code for whether the C compiler supports C99 (body of main). ac_c_conftest_c99_main=' // Check bool. _Bool success = false; success |= (argc != 0); // Check restrict. if (test_restrict ("String literal") == 0) success = true; char *restrict newvar = "Another string"; // Check varargs. success &= test_varargs ("s, d'\'' f .", "string", 65, 34.234); test_varargs_macros (); // Check flexible array members. struct incomplete_array *ia = malloc (sizeof (struct incomplete_array) + (sizeof (double) * 10)); ia->datasize = 10; for (int i = 0; i < ia->datasize; ++i) ia->data[i] = i * 1.234; // Check named initializers. struct named_init ni = { .number = 34, .name = L"Test wide string", .average = 543.34343, }; ni.number = 58; int dynamic_array[ni.number]; dynamic_array[0] = argv[0][0]; dynamic_array[ni.number - 1] = 543; // work around unused variable warnings ok |= (!success || bignum == 0LL || ubignum == 0uLL || newvar[0] == '\''x'\'' || dynamic_array[ni.number - 1] != 543); ' # Test code for whether the C compiler supports C11 (global declarations) ac_c_conftest_c11_globals=' // Does the compiler advertise C11 conformance? #if !defined __STDC_VERSION__ || __STDC_VERSION__ < 201112L # error "Compiler does not advertise C11 conformance" #endif // Check _Alignas. char _Alignas (double) aligned_as_double; char _Alignas (0) no_special_alignment; extern char aligned_as_int; char _Alignas (0) _Alignas (int) aligned_as_int; // Check _Alignof. enum { int_alignment = _Alignof (int), int_array_alignment = _Alignof (int[100]), char_alignment = _Alignof (char) }; _Static_assert (0 < -_Alignof (int), "_Alignof is signed"); // Check _Noreturn. int _Noreturn does_not_return (void) { for (;;) continue; } // Check _Static_assert. struct test_static_assert { int x; _Static_assert (sizeof (int) <= sizeof (long int), "_Static_assert does not work in struct"); long int y; }; // Check UTF-8 literals. #define u8 syntax error! char const utf8_literal[] = u8"happens to be ASCII" "another string"; // Check duplicate typedefs. typedef long *long_ptr; typedef long int *long_ptr; typedef long_ptr long_ptr; // Anonymous structures and unions -- taken from C11 6.7.2.1 Example 1. struct anonymous { union { struct { int i; int j; }; struct { int k; long int l; } w; }; int m; } v1; ' # Test code for whether the C compiler supports C11 (body of main). ac_c_conftest_c11_main=' _Static_assert ((offsetof (struct anonymous, i) == offsetof (struct anonymous, w.k)), "Anonymous union alignment botch"); v1.i = 2; v1.w.k = 5; ok |= v1.i != 5; ' # Test code for whether the C compiler supports C11 (complete). ac_c_conftest_c11_program="${ac_c_conftest_c89_globals} ${ac_c_conftest_c99_globals} ${ac_c_conftest_c11_globals} int main (int argc, char **argv) { int ok = 0; ${ac_c_conftest_c89_main} ${ac_c_conftest_c99_main} ${ac_c_conftest_c11_main} return ok; } " # Test code for whether the C compiler supports C99 (complete). ac_c_conftest_c99_program="${ac_c_conftest_c89_globals} ${ac_c_conftest_c99_globals} int main (int argc, char **argv) { int ok = 0; ${ac_c_conftest_c89_main} ${ac_c_conftest_c99_main} return ok; } " # Test code for whether the C compiler supports C89 (complete). ac_c_conftest_c89_program="${ac_c_conftest_c89_globals} int main (int argc, char **argv) { int ok = 0; ${ac_c_conftest_c89_main} return ok; } " as_fn_append ac_header_c_list " stdio.h stdio_h HAVE_STDIO_H" as_fn_append ac_header_c_list " stdlib.h stdlib_h HAVE_STDLIB_H" as_fn_append ac_header_c_list " string.h string_h HAVE_STRING_H" as_fn_append ac_header_c_list " inttypes.h inttypes_h HAVE_INTTYPES_H" as_fn_append ac_header_c_list " stdint.h stdint_h HAVE_STDINT_H" as_fn_append ac_header_c_list " strings.h strings_h HAVE_STRINGS_H" as_fn_append ac_header_c_list " sys/stat.h sys_stat_h HAVE_SYS_STAT_H" as_fn_append ac_header_c_list " sys/types.h sys_types_h HAVE_SYS_TYPES_H" as_fn_append ac_header_c_list " unistd.h unistd_h HAVE_UNISTD_H" # Check that the precious variables saved in the cache have kept the same # value. ac_cache_corrupted=false for ac_var in $ac_precious_vars; do eval ac_old_set=\$ac_cv_env_${ac_var}_set eval ac_new_set=\$ac_env_${ac_var}_set eval ac_old_val=\$ac_cv_env_${ac_var}_value eval ac_new_val=\$ac_env_${ac_var}_value case $ac_old_set,$ac_new_set in set,) { printf "%s\n" "$as_me:${as_lineno-$LINENO}: error: \`$ac_var' was set to \`$ac_old_val' in the previous run" >&5 printf "%s\n" "$as_me: error: \`$ac_var' was set to \`$ac_old_val' in the previous run" >&2;} ac_cache_corrupted=: ;; ,set) { printf "%s\n" "$as_me:${as_lineno-$LINENO}: error: \`$ac_var' was not set in the previous run" >&5 printf "%s\n" "$as_me: error: \`$ac_var' was not set in the previous run" >&2;} ac_cache_corrupted=: ;; ,);; *) if test "x$ac_old_val" != "x$ac_new_val"; then # differences in whitespace do not lead to failure. ac_old_val_w=`echo x $ac_old_val` ac_new_val_w=`echo x $ac_new_val` if test "$ac_old_val_w" != "$ac_new_val_w"; then { printf "%s\n" "$as_me:${as_lineno-$LINENO}: error: \`$ac_var' has changed since the previous run:" >&5 printf "%s\n" "$as_me: error: \`$ac_var' has changed since the previous run:" >&2;} ac_cache_corrupted=: else { printf "%s\n" "$as_me:${as_lineno-$LINENO}: warning: ignoring whitespace changes in \`$ac_var' since the previous run:" >&5 printf "%s\n" "$as_me: warning: ignoring whitespace changes in \`$ac_var' since the previous run:" >&2;} eval $ac_var=\$ac_old_val fi { printf "%s\n" "$as_me:${as_lineno-$LINENO}: former value: \`$ac_old_val'" >&5 printf "%s\n" "$as_me: former value: \`$ac_old_val'" >&2;} { printf "%s\n" "$as_me:${as_lineno-$LINENO}: current value: \`$ac_new_val'" >&5 printf "%s\n" "$as_me: current value: \`$ac_new_val'" >&2;} fi;; esac # Pass precious variables to config.status. if test "$ac_new_set" = set; then case $ac_new_val in *\'*) ac_arg=$ac_var=`printf "%s\n" "$ac_new_val" | sed "s/'/'\\\\\\\\''/g"` ;; *) ac_arg=$ac_var=$ac_new_val ;; esac case " $ac_configure_args " in *" '$ac_arg' "*) ;; # Avoid dups. Use of quotes ensures accuracy. *) as_fn_append ac_configure_args " '$ac_arg'" ;; esac fi done if $ac_cache_corrupted; then { printf "%s\n" "$as_me:${as_lineno-$LINENO}: error: in \`$ac_pwd':" >&5 printf "%s\n" "$as_me: error: in \`$ac_pwd':" >&2;} { printf "%s\n" "$as_me:${as_lineno-$LINENO}: error: changes in the environment can compromise the build" >&5 printf "%s\n" "$as_me: error: changes in the environment can compromise the build" >&2;} as_fn_error $? "run \`${MAKE-make} distclean' and/or \`rm $cache_file' and start over" "$LINENO" 5 fi ## -------------------- ## ## Main body of script. ## ## -------------------- ## ac_ext=c ac_cpp='$CPP $CPPFLAGS' ac_compile='$CC -c $CFLAGS $CPPFLAGS conftest.$ac_ext >&5' ac_link='$CC -o conftest$ac_exeext $CFLAGS $CPPFLAGS $LDFLAGS conftest.$ac_ext $LIBS >&5' ac_compiler_gnu=$ac_cv_c_compiler_gnu odbc_mgr="" # Check whether --with-odbc-manager was given. if test ${with_odbc_manager+y} then : withval=$with_odbc_manager; odbc_mgr=$withval fi if test "$odbc_mgr" = "odbc" ; then for ac_prog in odbc_config do # Extract the first word of "$ac_prog", so it can be a program name with args. set dummy $ac_prog; ac_word=$2 { printf "%s\n" "$as_me:${as_lineno-$LINENO}: checking for $ac_word" >&5 printf %s "checking for $ac_word... " >&6; } if test ${ac_cv_path_ODBC_CONFIG+y} then : printf %s "(cached) " >&6 else $as_nop case $ODBC_CONFIG in [\\/]* | ?:[\\/]*) ac_cv_path_ODBC_CONFIG="$ODBC_CONFIG" # Let the user override the test with a path. ;; *) as_save_IFS=$IFS; IFS=$PATH_SEPARATOR for as_dir in $PATH do IFS=$as_save_IFS case $as_dir in #((( '') as_dir=./ ;; */) ;; *) as_dir=$as_dir/ ;; esac for ac_exec_ext in '' $ac_executable_extensions; do if as_fn_executable_p "$as_dir$ac_word$ac_exec_ext"; then ac_cv_path_ODBC_CONFIG="$as_dir$ac_word$ac_exec_ext" printf "%s\n" "$as_me:${as_lineno-$LINENO}: found $as_dir$ac_word$ac_exec_ext" >&5 break 2 fi done done IFS=$as_save_IFS ;; esac fi ODBC_CONFIG=$ac_cv_path_ODBC_CONFIG if test -n "$ODBC_CONFIG"; then { printf "%s\n" "$as_me:${as_lineno-$LINENO}: result: $ODBC_CONFIG" >&5 printf "%s\n" "$ODBC_CONFIG" >&6; } else { printf "%s\n" "$as_me:${as_lineno-$LINENO}: result: no" >&5 printf "%s\n" "no" >&6; } fi test -n "$ODBC_CONFIG" && break done fi # Check whether --with-odbc-include was given. if test ${with_odbc_include+y} then : withval=$with_odbc_include; odbc_include_path=$withval fi RODBC_CPPFLAGS="-I." if test -n "$odbc_include_path" ; then RODBC_CPPFLAGS="-I. -I${odbc_include_path}" else if test -n "${ODBC_INCLUDE}" ; then RODBC_CPPFLAGS="-I. -I${ODBC_INCLUDE}" else if test -n "${ODBC_CONFIG}"; then RODBC_CPPFLAGS=`odbc_config --cflags` RODBC_CPPFLAGS="-I. ${RODBC_CPPFLAGS}" fi fi fi # Check whether --with-odbc-lib was given. if test ${with_odbc_lib+y} then : withval=$with_odbc_lib; odbc_lib_path=$withval fi if test -n "$odbc_lib_path" ; then LIBS="-L${odbc_lib_path} ${LIBS}" else if test -n "${ODBC_LIBS}" ; then LIBS="-L${ODBC_LIBS} ${LIBS}" else if test -n "${ODBC_CONFIG}"; then odbc_lib_path=`odbc_config --libs | sed s/-lodbc//` LIBS="${odbc_lib_path} ${LIBS}" fi fi fi : ${R_HOME=`R RHOME`} if test -z "${R_HOME}"; then echo "could not determine R_HOME" exit 1 fi CC=`"${R_HOME}/bin/R" CMD config CC` CFLAGS=`"${R_HOME}/bin/R" CMD config CFLAGS` CPPFLAGS=`"${R_HOME}/bin/R" CMD config CPPFLAGS` CPPFLAGS="${CPPFLAGS} ${RODBC_CPPFLAGS}" ac_ext=c ac_cpp='$CPP $CPPFLAGS' ac_compile='$CC -c $CFLAGS $CPPFLAGS conftest.$ac_ext >&5' ac_link='$CC -o conftest$ac_exeext $CFLAGS $CPPFLAGS $LDFLAGS conftest.$ac_ext $LIBS >&5' ac_compiler_gnu=$ac_cv_c_compiler_gnu if test -n "$ac_tool_prefix"; then # Extract the first word of "${ac_tool_prefix}gcc", so it can be a program name with args. set dummy ${ac_tool_prefix}gcc; ac_word=$2 { printf "%s\n" "$as_me:${as_lineno-$LINENO}: checking for $ac_word" >&5 printf %s "checking for $ac_word... " >&6; } if test ${ac_cv_prog_CC+y} then : printf %s "(cached) " >&6 else $as_nop if test -n "$CC"; then ac_cv_prog_CC="$CC" # Let the user override the test. else as_save_IFS=$IFS; IFS=$PATH_SEPARATOR for as_dir in $PATH do IFS=$as_save_IFS case $as_dir in #((( '') as_dir=./ ;; */) ;; *) as_dir=$as_dir/ ;; esac for ac_exec_ext in '' $ac_executable_extensions; do if as_fn_executable_p "$as_dir$ac_word$ac_exec_ext"; then ac_cv_prog_CC="${ac_tool_prefix}gcc" printf "%s\n" "$as_me:${as_lineno-$LINENO}: found $as_dir$ac_word$ac_exec_ext" >&5 break 2 fi done done IFS=$as_save_IFS fi fi CC=$ac_cv_prog_CC if test -n "$CC"; then { printf "%s\n" "$as_me:${as_lineno-$LINENO}: result: $CC" >&5 printf "%s\n" "$CC" >&6; } else { printf "%s\n" "$as_me:${as_lineno-$LINENO}: result: no" >&5 printf "%s\n" "no" >&6; } fi fi if test -z "$ac_cv_prog_CC"; then ac_ct_CC=$CC # Extract the first word of "gcc", so it can be a program name with args. set dummy gcc; ac_word=$2 { printf "%s\n" "$as_me:${as_lineno-$LINENO}: checking for $ac_word" >&5 printf %s "checking for $ac_word... " >&6; } if test ${ac_cv_prog_ac_ct_CC+y} then : printf %s "(cached) " >&6 else $as_nop if test -n "$ac_ct_CC"; then ac_cv_prog_ac_ct_CC="$ac_ct_CC" # Let the user override the test. else as_save_IFS=$IFS; IFS=$PATH_SEPARATOR for as_dir in $PATH do IFS=$as_save_IFS case $as_dir in #((( '') as_dir=./ ;; */) ;; *) as_dir=$as_dir/ ;; esac for ac_exec_ext in '' $ac_executable_extensions; do if as_fn_executable_p "$as_dir$ac_word$ac_exec_ext"; then ac_cv_prog_ac_ct_CC="gcc" printf "%s\n" "$as_me:${as_lineno-$LINENO}: found $as_dir$ac_word$ac_exec_ext" >&5 break 2 fi done done IFS=$as_save_IFS fi fi ac_ct_CC=$ac_cv_prog_ac_ct_CC if test -n "$ac_ct_CC"; then { printf "%s\n" "$as_me:${as_lineno-$LINENO}: result: $ac_ct_CC" >&5 printf "%s\n" "$ac_ct_CC" >&6; } else { printf "%s\n" "$as_me:${as_lineno-$LINENO}: result: no" >&5 printf "%s\n" "no" >&6; } fi if test "x$ac_ct_CC" = x; then CC="" else case $cross_compiling:$ac_tool_warned in yes:) { printf "%s\n" "$as_me:${as_lineno-$LINENO}: WARNING: using cross tools not prefixed with host triplet" >&5 printf "%s\n" "$as_me: WARNING: using cross tools not prefixed with host triplet" >&2;} ac_tool_warned=yes ;; esac CC=$ac_ct_CC fi else CC="$ac_cv_prog_CC" fi if test -z "$CC"; then if test -n "$ac_tool_prefix"; then # Extract the first word of "${ac_tool_prefix}cc", so it can be a program name with args. set dummy ${ac_tool_prefix}cc; ac_word=$2 { printf "%s\n" "$as_me:${as_lineno-$LINENO}: checking for $ac_word" >&5 printf %s "checking for $ac_word... " >&6; } if test ${ac_cv_prog_CC+y} then : printf %s "(cached) " >&6 else $as_nop if test -n "$CC"; then ac_cv_prog_CC="$CC" # Let the user override the test. else as_save_IFS=$IFS; IFS=$PATH_SEPARATOR for as_dir in $PATH do IFS=$as_save_IFS case $as_dir in #((( '') as_dir=./ ;; */) ;; *) as_dir=$as_dir/ ;; esac for ac_exec_ext in '' $ac_executable_extensions; do if as_fn_executable_p "$as_dir$ac_word$ac_exec_ext"; then ac_cv_prog_CC="${ac_tool_prefix}cc" printf "%s\n" "$as_me:${as_lineno-$LINENO}: found $as_dir$ac_word$ac_exec_ext" >&5 break 2 fi done done IFS=$as_save_IFS fi fi CC=$ac_cv_prog_CC if test -n "$CC"; then { printf "%s\n" "$as_me:${as_lineno-$LINENO}: result: $CC" >&5 printf "%s\n" "$CC" >&6; } else { printf "%s\n" "$as_me:${as_lineno-$LINENO}: result: no" >&5 printf "%s\n" "no" >&6; } fi fi fi if test -z "$CC"; then # Extract the first word of "cc", so it can be a program name with args. set dummy cc; ac_word=$2 { printf "%s\n" "$as_me:${as_lineno-$LINENO}: checking for $ac_word" >&5 printf %s "checking for $ac_word... " >&6; } if test ${ac_cv_prog_CC+y} then : printf %s "(cached) " >&6 else $as_nop if test -n "$CC"; then ac_cv_prog_CC="$CC" # Let the user override the test. else ac_prog_rejected=no as_save_IFS=$IFS; IFS=$PATH_SEPARATOR for as_dir in $PATH do IFS=$as_save_IFS case $as_dir in #((( '') as_dir=./ ;; */) ;; *) as_dir=$as_dir/ ;; esac for ac_exec_ext in '' $ac_executable_extensions; do if as_fn_executable_p "$as_dir$ac_word$ac_exec_ext"; then if test "$as_dir$ac_word$ac_exec_ext" = "/usr/ucb/cc"; then ac_prog_rejected=yes continue fi ac_cv_prog_CC="cc" printf "%s\n" "$as_me:${as_lineno-$LINENO}: found $as_dir$ac_word$ac_exec_ext" >&5 break 2 fi done done IFS=$as_save_IFS if test $ac_prog_rejected = yes; then # We found a bogon in the path, so make sure we never use it. set dummy $ac_cv_prog_CC shift if test $# != 0; then # We chose a different compiler from the bogus one. # However, it has the same basename, so the bogon will be chosen # first if we set CC to just the basename; use the full file name. shift ac_cv_prog_CC="$as_dir$ac_word${1+' '}$@" fi fi fi fi CC=$ac_cv_prog_CC if test -n "$CC"; then { printf "%s\n" "$as_me:${as_lineno-$LINENO}: result: $CC" >&5 printf "%s\n" "$CC" >&6; } else { printf "%s\n" "$as_me:${as_lineno-$LINENO}: result: no" >&5 printf "%s\n" "no" >&6; } fi fi if test -z "$CC"; then if test -n "$ac_tool_prefix"; then for ac_prog in cl.exe do # Extract the first word of "$ac_tool_prefix$ac_prog", so it can be a program name with args. set dummy $ac_tool_prefix$ac_prog; ac_word=$2 { printf "%s\n" "$as_me:${as_lineno-$LINENO}: checking for $ac_word" >&5 printf %s "checking for $ac_word... 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